{"id":"W2364553660","doi":"10.1177/1077801216644985","title":"Marital Separation and Lethal Male Partner Violence","year":2016,"lang":"en","type":"article","venue":"Violence Against Women","topic":"Intimate Partner and Family Violence","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Femicide; Marital separation; Separation (statistics); Generalization; Poison control; Adversarial system; Conflict resolution; Psychology; Injury prevention; Empirical research; Human factors and ergonomics; Association (psychology); Social psychology; Criminology; Domestic violence; Computer security; Computer science; Medicine; Sociology; Medical emergency; Mathematics; Psychotherapist; Artificial intelligence; Statistics","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":[0.0009285548,0.00008934797,0.0001484142,0.0007707227,0.0007647255,0.000553315,0.0001961731,0.0002902015,0.003158944],"category_scores_gemma":[0.01075415,0.000072351,0.0002070191,0.000545903,0.0006912786,0.0003949585,0.001394586,0.0005754264,0.0001299845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003544899,"about_ca_system_score_gemma":0.0003201334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002510373,"about_ca_topic_score_gemma":0.003836837,"domain_scores_codex":[0.9985678,0.0009366854,0.00008022592,0.00007043404,0.0002008081,0.0001440155],"domain_scores_gemma":[0.9969862,0.001115958,0.001411229,0.0001101426,0.0001367188,0.0002397606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009980518,0.0001093343,0.9535512,0.00007503761,0.00008827597,0.0004620767,0.002440767,0.0001387033,0.00008017263,0.00549846,0.0003707762,0.03708543],"study_design_scores_gemma":[0.000009219551,0.0001692096,0.9839913,0.0001275275,0.00006266915,0.002200305,0.005667278,0.0003186544,0.0001314774,0.005366377,0.001946482,0.000009468704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857839,0.00490034,0.0002683336,0.001153791,0.00002372313,0.000004621207,0.00005185612,0.000002742998,0.007810588],"genre_scores_gemma":[0.9991649,0.000614515,0.00003139696,0.00003721966,0.00001310379,0.000001149903,0.0000137494,2.613583e-7,0.0001236262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003158944,"threshold_uncertainty_score":0.01056778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610086782036747,"score_gpt":0.3085617807345361,"score_spread":0.2924609129141686,"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."}}