{"id":"W4403241194","doi":"10.17615/fday-b883","title":"Predicting Intimate Partner Violence Perpetration Among Young Adults Experiencing Homelessness in Seven U.S. Cities Using Interpretable Machine Learning.","year":2024,"lang":"en","type":"article","venue":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; Centers for Disease Control and Prevention; Simon Fraser University; Greater Houston Community Foundation; University of Illinois at Urbana-Champaign; National Center for Injury Prevention and Control; Arizona State University","keywords":"Psychology; Domestic violence; Developmental psychology; Social psychology; Human factors and ergonomics; Poison control; Medical emergency; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003192122,0.0003423503,0.0007626877,0.0003121372,0.001280233,0.0000570444,0.0003457174,0.0002992546,0.00003040849],"category_scores_gemma":[0.0001108424,0.0003933934,0.000226935,0.0005688185,0.0003214272,0.001581452,0.0004810603,0.0008313679,0.00001422827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009426457,"about_ca_system_score_gemma":0.0002962067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01200207,"about_ca_topic_score_gemma":0.02965959,"domain_scores_codex":[0.9972721,0.0003196577,0.0006253396,0.0006646027,0.0004639385,0.0006543664],"domain_scores_gemma":[0.9985198,0.0002677176,0.0003840881,0.0002844942,0.0003002053,0.0002437281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001470052,0.00003015272,0.8284075,0.0008205255,0.00004070155,0.0002724633,0.1670437,0.001121384,0.00009449599,0.00004647285,0.000001163326,0.001974398],"study_design_scores_gemma":[0.000674465,0.0001082654,0.6363834,0.002747414,0.00007409923,0.00001398336,0.1715408,0.1877517,0.00006723091,0.00003621069,0.0001000725,0.0005023238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936912,0.001328532,0.0002132245,0.00000773832,0.0008732599,0.0005090827,0.00008420316,0.0002716295,0.003021148],"genre_scores_gemma":[0.9983923,0.0003043459,0.00002631486,0.000004606653,0.0002132798,0.000008294238,0.000093494,0.00005500378,0.0009024015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1920241,"threshold_uncertainty_score":0.9998518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01321467986254848,"score_gpt":0.2624476429587255,"score_spread":0.249232963096177,"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."}}