{"id":"W2914479518","doi":"10.5539/res.v11n1p106","title":"Implications of Machine-Learning, Internet-Tests to Save Lives and Money: "7-Point Violence Profile:" Review of 212 Studies, 320,051 Persons, Over 95 Years, With a Cross-Validation Among 136 Homicidal, Overdosing- Substance-Abusing, Sex-Offending,","year":2019,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Suicide and Self-Harm Studies","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; U.S. Department of Defense; Ministry of Land, Infrastructure, Transport and Tourism; Exelon Corporation; U.S. Department of Housing and Urban Development; Northwestern University","keywords":"Minnesota Multiphasic Personality Inventory; Psychology; Suicide attempt; Suicidal ideation; Psychiatry; Clinical psychology; Medicine; Poison control; Suicide prevention; Medical emergency; Personality; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01621985,0.0006685338,0.001783214,0.003817768,0.0002182906,0.001931765,0.001571977,0.001318347,0.003408848],"category_scores_gemma":[0.07169116,0.0002831408,0.001278498,0.004073237,0.0006339599,0.002540852,0.0004810771,0.001176528,0.0006457711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008781098,"about_ca_system_score_gemma":0.002036668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002615095,"about_ca_topic_score_gemma":0.007277318,"domain_scores_codex":[0.9897304,0.006670531,0.001436354,0.0004487478,0.001633289,0.00008073876],"domain_scores_gemma":[0.9033892,0.08273447,0.007118758,0.0009029166,0.005464016,0.0003906537],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002636433,0.00007652713,0.01218244,0.05703031,0.004189108,0.0001787253,0.00007457764,0.000513232,0.0000511052,0.001150762,0.03204044,0.8922492],"study_design_scores_gemma":[0.001841869,0.002535209,0.1705005,0.4067672,0.03167744,0.004427527,0.00132813,0.005092858,0.001150283,0.01742864,0.357044,0.000206371],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002287869,0.9913101,0.000370951,0.003843064,0.0003392332,0.00007148191,0.0002885214,0.00001614988,0.001472641],"genre_scores_gemma":[0.09773047,0.8886687,0.003182705,0.006274265,0.001353598,0.0004023577,0.0009337079,0.00002472087,0.001429625],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9837801,"threshold_uncertainty_score":0.08577973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05644010384992372,"score_gpt":0.3694941412281177,"score_spread":0.313054037378194,"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."}}