{"id":"W6902006054","doi":"10.6084/m9.figshare.17006981","title":"Additional file 1 of Appraising clinical applicability of studies: mapping and synthesis of current frameworks, and proposal of the FrACAS framework and VICORT checklist","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Flowchart; Checklist; Selection (genetic algorithm); Current (fluid); Expert system; Documentation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0215268,0.002164066,0.003445536,0.01178998,0.001297443,0.003392342,0.002688621,0.002147508,0.8435513],"category_scores_gemma":[0.2242409,0.001472394,0.002932638,0.0123757,0.0007032554,0.004202952,0.002737278,0.001917935,0.07086676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003604596,"about_ca_system_score_gemma":0.009010426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004189867,"about_ca_topic_score_gemma":0.009076936,"domain_scores_codex":[0.9897096,0.003196048,0.004579375,0.0009449602,0.001199383,0.0003706272],"domain_scores_gemma":[0.6415538,0.3084357,0.02110278,0.006779092,0.02054748,0.001581144],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002045481,0.0002319005,0.00291896,0.1478667,0.0005051135,0.0001619986,0.0005630396,0.001089294,0.0002465596,0.004997225,0.7922289,0.04714477],"study_design_scores_gemma":[0.02472116,0.0009438663,0.02398418,0.1012722,0.002869297,0.0009790258,0.001809075,0.004298152,0.00170025,0.04598187,0.7909235,0.0005175499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0004887042,0.0002619055,0.002693872,0.0006543765,0.0001104731,0.007430029,0.9855565,0.0005450587,0.002259069],"genre_scores_gemma":[0.01995653,0.002292759,0.1032687,0.003321255,0.000737185,0.2995963,0.5430331,0.002249377,0.02554478],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9784732,"threshold_uncertainty_score":0.223155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6824357615841716,"score_gpt":0.5738693619160397,"score_spread":0.108566399668132,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}