{"id":"W2753855871","doi":"10.1177/0886260517729404","title":"Risk Factors in Domestic Homicides: Identifying Common Clusters in the Canadian Context","year":2017,"lang":"en","type":"article","venue":"Journal of Interpersonal Violence","topic":"Homicide, Infanticide, and Child Abuse","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga College; University of Guelph","funders":"","keywords":"Homicide; Coroner; Domestic violence; Context (archaeology); Poison control; Suicide prevention; Injury prevention; Human factors and ergonomics; Occupational safety and health; Demography; Cluster (spacecraft); Medicine; Risk factor; Psychology; Medical emergency; Geography; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001613079,0.0006987876,0.000772402,0.007483729,0.007130642,0.00193338,0.002414477,0.000695306,0.001900936],"category_scores_gemma":[0.008176433,0.0006233075,0.001152731,0.009579447,0.001608034,0.001003471,0.004225219,0.001204518,0.000128994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02500919,"about_ca_system_score_gemma":0.04383686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9784484,"about_ca_topic_score_gemma":0.9899049,"domain_scores_codex":[0.9971089,0.0002726782,0.0002713513,0.0004138616,0.001015592,0.0009176887],"domain_scores_gemma":[0.9967819,0.0002157231,0.0009046205,0.0001779837,0.001297361,0.0006223823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005257688,0.00002360326,0.9814118,0.00009139015,0.00005500277,0.0004048306,0.00473659,0.00008073525,0.0001164161,0.0003862017,0.0006826579,0.01195819],"study_design_scores_gemma":[0.000004072911,0.00002277723,0.9877009,0.000118194,0.00004281345,0.0003565888,0.01013167,0.0002977087,0.00004194166,0.0002375763,0.001016016,0.00002977603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925253,0.001959809,0.000294059,0.0007975338,0.00002639027,0.0001395375,0.001155303,0.00001374727,0.003088181],"genre_scores_gemma":[0.9968774,0.001525728,0.0005997117,0.00006140488,0.000009369989,0.00003447695,0.0005492273,0.000006588023,0.0003361018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02500919,"threshold_uncertainty_score":0.1814552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02788245008609214,"score_gpt":0.3325810140486189,"score_spread":0.3046985639625268,"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."}}