{"id":"W6939482417","doi":"10.6084/m9.figshare.14913270","title":"Additional file 3 of Validity of observational evidence on putative risk and protective factors: appraisal of 3744 meta-analyses on 57 topics","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Observational study; Missing data; Data collection; Observational methods in psychology; Risk assessment","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch","metaepi_broad"],"domain":"methods","study_design":"meta_analysis","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","metaepi_broad","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007113554,0.001937285,0.002796787,0.00587285,0.0009663113,0.002674844,0.002629563,0.002263166,0.9098527],"category_scores_gemma":[0.1233227,0.001288198,0.003603257,0.007991116,0.0004596482,0.003962677,0.001914325,0.001408782,0.09178832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002209005,"about_ca_system_score_gemma":0.003860806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006548196,"about_ca_topic_score_gemma":0.01170418,"domain_scores_codex":[0.996247,0.001095201,0.00118039,0.0005791899,0.0006211632,0.0002770788],"domain_scores_gemma":[0.8543471,0.1266915,0.007326185,0.003614591,0.007251516,0.0007692221],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001655353,0.0001370609,0.002816879,0.07298951,0.0008987121,0.0001330449,0.0001472766,0.00116208,0.0001740897,0.002408234,0.9014612,0.01601649],"study_design_scores_gemma":[0.05802997,0.0008846583,0.03062209,0.05477652,0.00504292,0.0009563796,0.0007333767,0.005624877,0.00123068,0.0374417,0.8042377,0.0004191984],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002127423,0.0001426433,0.0004285725,0.0002281841,0.0000540242,0.0003817897,0.9974352,0.000219565,0.0008974428],"genre_scores_gemma":[0.02296872,0.001379824,0.01529593,0.002459391,0.0004981242,0.0267733,0.9054222,0.001678286,0.02352418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9972032,"threshold_uncertainty_score":0.1285842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9569709275465907,"score_gpt":0.5920804522400188,"score_spread":0.3648904753065719,"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."}}