{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008933076,0.0001936175,0.0002053504,0.00008686708,0.0005249906,0.0001064886,0.0003251591,0.0001429723,0.0003337928],"category_scores_gemma":[0.0001451166,0.0001455206,0.00004534821,0.0002331205,0.0007206937,0.0006864428,0.0001066019,0.0001079036,0.0004709445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002002255,"about_ca_system_score_gemma":0.0001463083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001761236,"about_ca_topic_score_gemma":0.00003339225,"domain_scores_codex":[0.9978547,0.000186357,0.0002660152,0.0004734445,0.0004296649,0.0007898336],"domain_scores_gemma":[0.9990994,0.0001471566,0.00009555769,0.00026237,0.0001110212,0.0002844991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001413101,0.0001768108,0.1328861,0.00004808935,0.00004260809,0.00008876139,0.01266901,0.00001142606,0.01956081,0.08890353,0.001203432,0.7442681],"study_design_scores_gemma":[0.006320804,0.001273571,0.6377098,0.007862972,0.00008604732,0.00008890215,0.05148191,0.001012783,0.009864732,0.1240246,0.1544988,0.005775073],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118009,0.000195631,0.0004888032,0.0002042383,0.0002760397,0.0002640815,0.00001932767,0.0001250534,0.08662596],"genre_scores_gemma":[0.9932578,0.00403706,0.0001508479,0.0004542131,0.0002498014,0.0001101432,0.000002849668,0.00001492473,0.00172234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.738493,"threshold_uncertainty_score":0.6053196,"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."}}