{ "_id": "6adc9784ad718eea59ecd40f", "Package": "screenllm", "Title": "LLM-Assisted Title/Abstract Screening for Systematic Reviews", "Version": "0.1.0", "Authors@R": "c(\nperson(\"Scott\", \"Spillias\", email = \"scott.spillias@csiro.au\",\nrole = c(\"aut\", \"cre\")),\nperson(\"Laura\", \"Avila Turriago\", role = \"aut\"),\nperson(\"Christopher\", \"Brown\", role = \"aut\"),\nperson(\"Ariane\", \"Easton\", role = \"aut\"),\nperson(\"Jack\", \"Roberts\", role = \"aut\"),\nperson(\"Michael\", \"Sievers\", role = \"aut\"),\nperson(\"Steve\", \"Swearer\", role = \"aut\"),\nperson(\"Andrew\", \"Taylor\", role = \"aut\"),\nperson(\"Brigette\", \"Wright\", role = \"aut\"),\nperson(\"Valeriya\", \"Komyakova\", role = \"aut\"))", "Description": "A turn-key workflow for LLM-assisted systematic-review\nscreening. The package ranks a corpus of titles and abstracts\nwith an ensemble of open-source large language models served\nlocally by 'Ollama', then applies the SAFE stopping rule to\nidentify the records a human should screen. Defaults match the\nfour-LLM mean ensemble and the SAFE configuration recommended\nby Spillias et al. (2026). A companion 'Shiny' app walks the\nhuman reviewer through the records above the stopping point.\nComplementary to the 'AIscreenR' package of Vembye et al.\n(2025) , which targets cloud-hosted\n'GPT' models via the 'OpenAI' API; 'screenllm' targets\nlocally-served open-weights ensembles with an integrated\nstopping rule.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "URL": "https://github.com/s-spillias/screenllm", "BugReports": "https://github.com/s-spillias/screenllm/issues", "Config/roxygen2/version": "8.0.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-24 11:29:42 UTC", "User": "root" }, "Author": "Scott Spillias [aut, cre], Laura Avila Turriago [aut],\nChristopher Brown [aut], Ariane Easton [aut], Jack Roberts\n[aut], Michael Sievers [aut], Steve Swearer [aut], Andrew\nTaylor [aut], Brigette Wright [aut], Valeriya Komyakova [aut]", "Maintainer": "Scott Spillias ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-09-24 15:00:02 UTC", "RemoteUrl": "https://github.com/cran/screenllm", "RemoteRef": "HEAD", "RemoteSha": "abe9866e634822e400d1f4fb596181e365e046a9", "_user": "cran", "_type": "src", "_file": "screenllm_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/df6f7c757f24e838cbe5e901aafd543245d8b1197a7906d7b8f931a2f23e602e", "_filesize": 311560, "_sha256": "df6f7c757f24e838cbe5e901aafd543245d8b1197a7906d7b8f931a2f23e602e", "_expires": "2027-02-01T11:33:22.000Z", "_created": "2026-10-24T11:29:42.000Z", "_published": "2026-10-24T11:33:23.996Z", "_upstream": "https://github.com/cran/screenllm", "_status": "success", "_maintainer": { "name": "Scott Spillias", "email": "scott.spillias@csiro.au", "login": "s-spillias", "description": "", "uuid": 47622332 }, "_jobs": [ { "job": 120860971334, "time": 182, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12558304398" }, { "job": 120860971378, "time": 135, "config": 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"backend_ollama", "title": "Ollama backend", "topics": [ "backend_ollama" ] }, { "page": "build_prompt", "title": "Build a screening prompt for one record", "topics": [ "build_prompt" ] }, { "page": "check_setup", "title": "Verify local setup for 'screenllm'", "topics": [ "check_setup" ] }, { "page": "clear_cache", "title": "Clear cached LLM scores for a project", "topics": [ "clear_cache" ] }, { "page": "custom_ensemble", "title": "Define a custom LLM ensemble", "topics": [ "custom_ensemble" ] }, { "page": "default_ensemble", "title": "The paper's default LLM ensemble", "topics": [ "default_ensemble" ] }, { "page": "default_ensemble_light", "title": "A \"light\" ensemble that runs on a laptop", "topics": [ "default_ensemble_light" ] }, { "page": "define_criteria", "title": "Define screening inclusion criteria", "topics": [ "define_criteria" ] }, { "page": "delete_artefact", "title": "Delete an artefact (or a whole project)", "topics": [ "delete_artefact" ] }, { "page": "delete_model", "title": "Delete an Ollama model to free up disk space", "topics": [ "delete_model" ] }, { "page": "detect_gpu", "title": "Detect a usable GPU for Ollama inference", "topics": [ "detect_gpu" ] }, { "page": "estimate_runtime", "title": "Estimate wall-clock time for a ranking run", "topics": [ "estimate_runtime" ] }, { "page": "export_report", "title": "Render the screening report as a self-contained HTML document", "topics": [ "export_report" ] }, { "page": "export_worksheet", "title": "Export the human-screening worksheet", "topics": [ "export_worksheet" ] }, { "page": "find_duplicates", "title": "Detect and remove duplicate records", "topics": [ "find_duplicates" ] }, { "page": "gpu_status", "title": "Live NVIDIA GPU status snapshot", "topics": [ "gpu_status" ] }, { "page": "install_prereqs", "title": "One-stop setup for a fresh machine", "topics": [ "install_prereqs" ] }, { "page": "launch_app", "title": "Launch the full end-to-end Shiny app", "topics": [ "launch_app" ] }, { "page": "launch_screening_app", "title": "Launch the interactive screening Shiny app", "topics": [ "launch_screening_app" ] }, { "page": "list_project_artefacts", "title": "Canonical artefact filenames", "topics": [ "list_project_artefacts" ] }, { "page": "list_projects", "title": "List existing project names", "topics": [ "list_projects" ] }, { "page": "load_artefact", "title": "Load an artefact from a project directory", "topics": [ "load_artefact" ] }, { "page": "load_toy_cbfm_criteria", "title": "Load the ready-made criteria for the toy CBFM corpus", "topics": [ "load_toy_cbfm_criteria" ] }, { "page": "ollama_catalog", "title": "Curated catalog of Ollama models useful for screening", "topics": [ "ollama_catalog" ] }, { "page": "ollama_health", "title": "Ping the Ollama server", "topics": [ "ollama_health" ] }, { "page": "ollama_installed_models_detail", "title": "Installed Ollama models with disk-space metadata", "topics": [ "ollama_installed_models_detail" ] }, { "page": "plan_screening", 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