{"id":"W2290055716","doi":"10.9740/mhc.2016.03.109","title":"Suicide prevention in pharmaceutical education: Raising awareness with inspiring stories","year":2016,"lang":"en","type":"article","venue":"Mental Health Clinician","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut universitaire en santé mentale de Montréal","funders":"","keywords":"Pharmacy; Mental health; Intervention (counseling); Suicide prevention; Documentation; Commit; Medical education; Session (web analytics); Medicine; Psychology; Attendance; Poison control; Psychiatry; Family medicine; Medical emergency; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01117202,0.0008695514,0.0005501995,0.001522527,0.005286316,0.006043052,0.001678116,0.003602097,0.005115709],"category_scores_gemma":[0.03231354,0.000571561,0.0008910597,0.0006494357,0.005130486,0.006922924,0.01180581,0.008177968,0.002148885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615522,"about_ca_system_score_gemma":0.004107151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005796971,"about_ca_topic_score_gemma":0.001623552,"domain_scores_codex":[0.9892704,0.008085019,0.0003332001,0.0002577342,0.001304829,0.0007488159],"domain_scores_gemma":[0.9713258,0.01714855,0.002575981,0.0009577519,0.001626744,0.006365202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001387017,0.00326178,0.01551247,0.003132959,0.00008062645,0.00319354,0.4118882,0.0001975386,0.001970951,0.005857502,0.1005139,0.4542519],"study_design_scores_gemma":[0.0002046546,0.002711857,0.02128939,0.005504708,0.000205158,0.0111887,0.4200322,0.0006832425,0.003037664,0.01449688,0.520453,0.0001926011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5225115,0.02726377,0.02127475,0.3121208,0.007187172,0.002309439,0.0002221952,0.001278344,0.1058321],"genre_scores_gemma":[0.8509673,0.03039508,0.04715625,0.0508456,0.00268106,0.00140243,0.0002592618,0.0001925111,0.01610053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01117202,"threshold_uncertainty_score":0.05908406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.159936055590582,"score_gpt":0.5125223182150112,"score_spread":0.3525862626244292,"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."}}