{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001677722,0.0005335344,0.001913848,0.0001730042,0.0001363815,0.00002452028,0.0003912594,0.00004582734,0.0002229777],"category_scores_gemma":[0.0008526199,0.0004187595,0.0002425766,0.0006100741,0.0005962122,0.0002094123,0.0004585347,0.0003219391,0.00009349193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142639,"about_ca_system_score_gemma":0.00003309856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002049685,"about_ca_topic_score_gemma":0.0001126005,"domain_scores_codex":[0.9960616,0.0008278306,0.001422064,0.000837574,0.0004155421,0.0004353702],"domain_scores_gemma":[0.9962502,0.0004751495,0.001576603,0.0008777544,0.0007186304,0.0001016948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001423343,0.000290646,0.8915572,0.05261466,0.002859594,0.0000109869,0.01918292,0.000003848387,0.001009656,0.0004866502,0.02477706,0.007064437],"study_design_scores_gemma":[0.001481462,0.001134924,0.7669263,0.1685595,0.001531319,0.00005684311,0.004378796,0.000002078477,0.0002507908,0.0000286917,0.054559,0.001090275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.456841,0.53981,0.0000191801,0.0001145705,0.0001190428,0.0009667709,0.00006040426,0.00004017098,0.002028857],"genre_scores_gemma":[0.2581102,0.7384794,0.0008992847,0.0005170238,0.00006073685,0.00008684517,0.00004242671,0.00007949505,0.001724534],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1987308,"threshold_uncertainty_score":0.9998264,"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."}}