{"id":"W4413673111","doi":"10.64628/aam.yj7tmygtv","title":"How AI is helping to predict and prevent suicides","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Psychology; Computer 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":[0.001523138,0.0005358947,0.0003753264,0.001024399,0.0007378486,0.003919924,0.0005352535,0.001614884,0.008105468],"category_scores_gemma":[0.01015664,0.0002378883,0.000540131,0.0006880485,0.001602453,0.002746167,0.0008484502,0.001709183,0.001600674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008145083,"about_ca_system_score_gemma":0.0014606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00886832,"about_ca_topic_score_gemma":0.007792476,"domain_scores_codex":[0.9994063,0.0001946698,0.00002604338,0.0001541823,0.0001369551,0.0000817354],"domain_scores_gemma":[0.9972087,0.001217786,0.0002133681,0.0003688685,0.0006327563,0.0003584858],"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":[0.0004997923,0.0006284075,0.1519097,0.0008385246,0.00103939,0.0006139858,0.002833348,0.01476181,0.006058392,0.1343396,0.09286173,0.5936152],"study_design_scores_gemma":[0.00008031385,0.0002783231,0.07381219,0.0004367915,0.0005130364,0.0008198546,0.003690723,0.03363148,0.004603081,0.7803151,0.1016959,0.0001232937],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.326617,0.02426221,0.1085148,0.2205282,0.008177826,0.000175552,0.004033017,0.002017573,0.3056738],"genre_scores_gemma":[0.9389266,0.008601711,0.02414304,0.005330502,0.001235134,0.00004562706,0.001070466,0.0001567289,0.02049015],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.00886832,"threshold_uncertainty_score":0.02711546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259060339412107,"score_gpt":0.2778275732066779,"score_spread":0.2552369698125569,"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."}}