{"id":"W3008586567","doi":"10.1007/s10578-020-00968-9","title":"Risk of Suicide and Self-harm in Kids: The Development of an Algorithm to Identify High-Risk Individuals Within the Children’s Mental Health System","year":2020,"lang":"en","type":"article","venue":"Child Psychiatry & Human Development","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Western University","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Harm; Suicidal ideation; Mental health; Suicide prevention; Poison control; Occupational safety and health; Human factors and ergonomics; Suicide attempt; Injury prevention; Psychology; Psychiatry; Medicine; Clinical psychology; Medical emergency; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002356972,0.0005122996,0.0008079109,0.0002423823,0.001248053,0.00005595355,0.0008810637,0.0001226674,0.00006195913],"category_scores_gemma":[0.00002426165,0.0003489699,0.0001005514,0.0005726837,0.0001480583,0.0000899578,0.0004210623,0.0006129241,0.00004298238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001724596,"about_ca_system_score_gemma":0.0003693892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001098837,"about_ca_topic_score_gemma":0.002031525,"domain_scores_codex":[0.9952158,0.0007424641,0.001922412,0.0008479655,0.0006714363,0.0005999118],"domain_scores_gemma":[0.9978208,0.00009612798,0.001112378,0.0006095802,0.0000738868,0.0002872096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007374855,0.0006206474,0.7140071,0.0001271563,0.001553932,0.000001349186,0.2730936,0.00001623495,0.000007805526,0.001144036,0.002183233,0.007171107],"study_design_scores_gemma":[0.002138485,0.0003190278,0.9685234,0.0001281803,0.00009310657,0.00001610235,0.02758762,0.000006724623,0.0002430982,0.0000887284,0.0004631324,0.0003924054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917582,0.002285406,0.0001111175,0.002652861,0.0007556011,0.001941466,0.0001228135,0.0001107557,0.0002618041],"genre_scores_gemma":[0.9779526,0.0000562464,0.01988774,0.001515159,0.0002125443,0.0002136963,0.00008222087,0.00006068361,0.00001911783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2545163,"threshold_uncertainty_score":0.9998962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01795417343604807,"score_gpt":0.3056372676479546,"score_spread":0.2876830942119066,"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."}}