{"id":"W3184341291","doi":"10.3390/ijerph18147671","title":"An Ecological Model for High-Risk Professional Decision-Making in Mental Health: International Perspectives","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Mental Health Treatment and Access","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Harm; Context (archaeology); Psychology; Mental health; Knowledge management; Management science; Public relations; Engineering ethics; Applied psychology; Social psychology; Computer science; Political science; Engineering","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":[0.008083416,0.0008965736,0.0006793057,0.002801961,0.003407054,0.008934825,0.002382073,0.002194699,0.01080108],"category_scores_gemma":[0.01080834,0.0005066977,0.001294951,0.002773615,0.01663964,0.006040993,0.004655236,0.002230615,0.0009165884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007608976,"about_ca_system_score_gemma":0.00691589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0141682,"about_ca_topic_score_gemma":0.01116247,"domain_scores_codex":[0.9937924,0.004458247,0.0001290707,0.0003870962,0.0005951203,0.0006382981],"domain_scores_gemma":[0.9899774,0.006398955,0.000887654,0.0004847097,0.001048516,0.001202699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002656461,0.0001218143,0.004389876,0.00004776165,0.00002165099,0.0001830144,0.005367522,0.009285924,0.00006669795,0.973762,0.0006202021,0.006106954],"study_design_scores_gemma":[0.00003052368,0.00008175542,0.003933003,0.0001220136,0.00002841871,0.000326524,0.0106718,0.03827612,0.00005421543,0.9328833,0.01355457,0.00003781899],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1577004,0.00199492,0.3267075,0.02769485,0.0002741011,0.0006535752,0.0002595039,0.0001839,0.4845312],"genre_scores_gemma":[0.9564121,0.0008732434,0.03620723,0.0005105421,0.00006664502,0.0003253345,0.00007430182,0.00003124412,0.00549935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0141682,"threshold_uncertainty_score":0.05520725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1116126837628095,"score_gpt":0.5170996059181769,"score_spread":0.4054869221553674,"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."}}