{"id":"W6958705761","doi":"10.6084/m9.figshare.29455273","title":"Additional file 3 of A cross-sectional needs assessment for a trauma-informed care curriculum for multidisciplinary healthcare providers","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Women's College Hospital; University of Toronto","funders":"","keywords":"Multidisciplinary approach; Needs assessment; Curriculum; Health care; Stakeholder; Key (lock)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003045984,0.0005423703,0.0006726797,0.001945149,0.001542667,0.001082674,0.001142713,0.0007575203,0.7734128],"category_scores_gemma":[0.03175037,0.0003710876,0.0005088727,0.002751607,0.0002326028,0.001626895,0.001105532,0.001071055,0.06628557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002462439,"about_ca_system_score_gemma":0.003715667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01648933,"about_ca_topic_score_gemma":0.03297586,"domain_scores_codex":[0.9991253,0.0002975765,0.0001747183,0.00008402339,0.0001821788,0.000136132],"domain_scores_gemma":[0.975154,0.01774752,0.001477547,0.0005406762,0.004419167,0.0006612101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002419817,0.0002424056,0.003698079,0.001586535,0.00001419045,0.00005505346,0.0008389829,0.0002456478,0.0000381481,0.001055004,0.9781993,0.01378459],"study_design_scores_gemma":[0.004589236,0.0005852808,0.0956341,0.009189867,0.0001416692,0.0005029793,0.01520643,0.002209903,0.0008137299,0.01470413,0.8562012,0.000221565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003361762,0.00004242208,0.0009008182,0.0008570211,0.00007074586,0.004297073,0.9801524,0.0001990509,0.01011866],"genre_scores_gemma":[0.07401849,0.000658776,0.0209028,0.003491781,0.0002267696,0.1379251,0.6853478,0.0007603567,0.07666802],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7734128,"threshold_uncertainty_score":0.3231991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03666758710760445,"score_gpt":0.3677402893110033,"score_spread":0.3310727022033989,"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."}}