{"id":"W7133065298","doi":"","title":"The impact of training models on officer knowledge, attitudes, and behaviour towards individuals with mental disorders.","year":2024,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Training (meteorology); Mental health; Work (physics)","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":[],"consensus_categories":[],"category_scores_codex":[0.003624245,0.0001910138,0.000247285,0.0004033662,0.0007413854,0.0008880402,0.0004064527,0.0003163024,0.006803406],"category_scores_gemma":[0.02952133,0.0001398735,0.0004473971,0.0003217962,0.0003706711,0.0004608666,0.001291453,0.000785322,0.0005776184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001319416,"about_ca_system_score_gemma":0.002543387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0315722,"about_ca_topic_score_gemma":0.06880718,"domain_scores_codex":[0.9974342,0.001498114,0.00006560887,0.0000647223,0.0004700343,0.0004673205],"domain_scores_gemma":[0.9868357,0.006742996,0.001954036,0.0005318324,0.0006965031,0.003238872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002817211,0.007753533,0.8180626,0.0002002029,0.0002112222,0.0001527307,0.005978327,0.0004410236,0.0005904565,0.0003131716,0.006670973,0.1568085],"study_design_scores_gemma":[0.00006930538,0.002205613,0.9905685,0.0001342874,0.0001021107,0.00003460254,0.004586039,0.0004875515,0.0001765254,0.0001176221,0.001502435,0.00001539959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951427,0.0001177419,0.00002981282,0.000600067,0.00002950525,0.00002276788,0.00006636846,0.000004119813,0.003986935],"genre_scores_gemma":[0.9980106,0.0001609096,0.00006104242,0.00006939437,0.00001334527,0.00002049463,0.00008049934,0.00000238193,0.001581372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0315722,"threshold_uncertainty_score":0.06277686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04025503188548606,"score_gpt":0.3785372560158785,"score_spread":0.3382822241303924,"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."}}