{"id":"W3036391367","doi":"10.1177/1077801220921939","title":"Effects of Historical Coercive Control, Historical Violence, and Lawyer Representation on Post-Separation Male Partner Violence Against Mother Litigants Who Participated in Adversarial Family Court Proceedings","year":2020,"lang":"en","type":"article","venue":"Violence Against Women","topic":"Intimate Partner and Family Violence","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Adversarial system; Domestic violence; Representation (politics); Suicide prevention; Human factors and ergonomics; Poison control; Injury prevention; Psychology; Criminology; Separation (statistics); Medical emergency; Political science; Law; Social psychology; Computer security; Psychiatry; Medicine; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000836587,0.0003956463,0.0007787016,0.0002130382,0.0003049703,0.0000788336,0.0004375995,0.0003560082,0.00002329732],"category_scores_gemma":[0.0008794715,0.0003915153,0.0001095412,0.0008358512,0.0003695563,0.0006453347,0.00008237184,0.0004529292,0.00005066328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679734,"about_ca_system_score_gemma":0.0002363351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412595,"about_ca_topic_score_gemma":0.00001971909,"domain_scores_codex":[0.9960063,0.0003733523,0.0008212815,0.0009165028,0.0009463895,0.0009362131],"domain_scores_gemma":[0.9981046,0.0003853122,0.0003951038,0.0002009192,0.0004163008,0.0004977629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01299462,0.003679576,0.3578957,0.001591279,0.0003902657,0.0005454692,0.1761701,0.003185373,0.265595,0.01706878,0.008637022,0.1522468],"study_design_scores_gemma":[0.02645846,0.007739877,0.7979191,0.02215089,0.0004083113,0.00000657661,0.03674502,0.06255142,0.0223735,0.00413819,0.01385691,0.005651779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921734,0.0005034456,0.0001883483,0.0005548928,0.0003971524,0.001266319,0.0000233753,0.0001187785,0.004774293],"genre_scores_gemma":[0.9920331,0.004602296,0.00005823562,0.002556963,0.0002977635,0.0003105973,0.000009472413,0.00003576728,0.00009584006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4400233,"threshold_uncertainty_score":0.9998537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015242485393443,"score_gpt":0.2936800043512839,"score_spread":0.2735275794973495,"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."}}