{"id":"W7111244017","doi":"10.1371/journal.pone.0323716.s001","title":"Inclusion/Exclusion Screening Form.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Medical Malpractice and Liability Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Licensure; Context (archaeology); Scholarship; Grey literature; Situated; Corporate governance; Workforce; Operationalization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01482266,0.002842776,0.009575539,0.01604719,0.005321697,0.007522323,0.004112356,0.006192667,0.4086807],"category_scores_gemma":[0.09056827,0.001566974,0.003379231,0.01131036,0.002110536,0.007107666,0.004924508,0.003850751,0.1096525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01048929,"about_ca_system_score_gemma":0.03295416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0123627,"about_ca_topic_score_gemma":0.02531855,"domain_scores_codex":[0.9880112,0.002192247,0.004898821,0.001123493,0.002675236,0.001098956],"domain_scores_gemma":[0.9413859,0.01512536,0.006706107,0.004300732,0.02955873,0.002923093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006898057,0.0001013562,0.0004210019,0.02586927,0.00005294222,0.0003314697,0.0005231986,0.00007721928,0.0001953537,0.00335443,0.9474939,0.02089017],"study_design_scores_gemma":[0.002137376,0.0002035574,0.0048097,0.06051423,0.0001297166,0.0004563825,0.001760912,0.0005882796,0.0004078183,0.007471566,0.9213281,0.0001923906],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003710436,0.005318861,0.003798173,0.02144029,0.01485992,0.4150252,0.4152774,0.001798152,0.1187716],"genre_scores_gemma":[0.01527354,0.006212621,0.0106943,0.01743681,0.003111679,0.7986162,0.0646272,0.001209343,0.08281831],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5913193,"threshold_uncertainty_score":0.8434452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.126652961589441,"score_gpt":0.4512539313150554,"score_spread":0.3246009697256144,"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."}}