{"id":"W1926436967","doi":"","title":"The Gendered Nature of Domestic Violence: Statistical Data for Lawyers Considering Equal Protection Analysis","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Intimate Partner and Family Violence","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Domestic violence; Statistical analysis; Business; Criminology; Political science; Law; Actuarial science; Law and economics; Psychology; Economics; Human factors and ergonomics; Poison control; Statistics; Environmental health; Mathematics; Medicine","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":[0.004229511,0.00009602698,0.0001858377,0.00008645117,0.001035339,0.00009899941,0.0005734874,0.0001165565,0.000009276505],"category_scores_gemma":[0.0008615578,0.00007016469,0.00008973906,0.0004074684,0.0002193772,0.0001856173,0.00002775509,0.001081984,0.000001869361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002959541,"about_ca_system_score_gemma":0.001780876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001964616,"about_ca_topic_score_gemma":0.0009488778,"domain_scores_codex":[0.9975699,0.0002037579,0.0002966785,0.0002090046,0.0003947477,0.001325969],"domain_scores_gemma":[0.9990018,0.0003026438,0.0001882429,0.0002581596,0.0001788164,0.00007032334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001153301,0.00003738924,0.0001770559,0.000004561909,0.0003490409,0.00000147153,0.0003279596,0.000183249,0.0002470654,0.9450155,0.00006451892,0.0534769],"study_design_scores_gemma":[0.0005263481,0.0003995099,0.003245153,0.00003884192,0.0005780795,0.00003433373,0.01157016,0.007907219,0.00007044267,0.9737678,0.001638485,0.0002236659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03098821,0.005240264,0.9583524,0.00109091,0.0004823076,0.0008077694,0.00009261291,0.00005630818,0.002889172],"genre_scores_gemma":[0.9957331,0.003364853,0.0005828466,0.00005502404,0.0001851334,0.000005589946,0.00001258162,0.000005285475,0.00005555213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9647449,"threshold_uncertainty_score":0.7963095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03375583237799444,"score_gpt":0.3702450234630388,"score_spread":0.3364891910850444,"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."}}