{"id":"W2981109828","doi":"10.3389/fpsyt.2019.00733","title":"Perspective On Excellence in Forensic Mental Health Services: What We Can Learn From Oncology and Other Medical Services","year":2019,"lang":"en","type":"article","venue":"Frontiers in Psychiatry","topic":"Healthcare Decision-Making and Restraints","field":"Psychology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Public Health Ontario; University of Toronto","funders":"","keywords":"Excellence; Mental health; Perspective (graphical); Radiation oncology; Medicine; Forensic science; Medical education; Psychology; Psychiatry; Oncology; Internal medicine; Computer science; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.05157456,0.001642857,0.003135383,0.003968415,0.006152543,0.01442197,0.005159861,0.02612863,0.01052792],"category_scores_gemma":[0.08112174,0.0006039088,0.002629671,0.003546306,0.02974623,0.04444194,0.01337674,0.04617827,0.002399239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01475323,"about_ca_system_score_gemma":0.03514974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01115083,"about_ca_topic_score_gemma":0.01643474,"domain_scores_codex":[0.9744699,0.01457968,0.00168919,0.002236762,0.004497698,0.002526773],"domain_scores_gemma":[0.8330632,0.1131954,0.005093996,0.004116242,0.01860951,0.02592171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001503119,0.0001976909,0.001766766,0.005266292,0.0001287985,0.0007883018,0.004342528,0.000557085,0.0002021325,0.2221453,0.6321885,0.1322663],"study_design_scores_gemma":[0.0001336732,0.0002723832,0.0022852,0.01318103,0.0000770195,0.0008676138,0.01025487,0.000423007,0.0001618505,0.3561177,0.6160674,0.0001582846],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001510738,0.03664999,0.0005047549,0.9550568,0.006141367,0.000008940934,0.00002591718,0.00001123523,0.001449762],"genre_scores_gemma":[0.02407816,0.1604234,0.003508053,0.7699512,0.04025332,0.0001178601,0.0001024948,0.00003612723,0.0015294],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05157456,"threshold_uncertainty_score":0.2727556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091970236023364,"score_gpt":0.3451129802701066,"score_spread":0.3341932779098729,"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."}}