{"id":"W4413041462","doi":"10.3389/fsoc.2025.1266401","title":"Medical mesocosms and cohort differences in victim decisions in spousal violence in Sub-Saharan Africa","year":2025,"lang":"en","type":"article","venue":"Frontiers in Sociology","topic":"Intimate Partner and Family Violence","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"African Population and Health Research Center; Universities Canada; McGill University","keywords":"Mesocosm; Cohort; Human factors and ergonomics; Poison control; Suicide prevention; Occupational safety and health; Criminology; Political science; Socioeconomics; Sociology; Environmental health; Medicine; Ecology; Law; Biology; Ecosystem","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002255532,0.0001561852,0.0005424789,0.0004986445,0.0001268547,0.00001641569,0.0004888169,0.0005501067,0.00003843504],"category_scores_gemma":[0.001132899,0.000151851,0.00003831439,0.0006862755,0.001991619,0.000111476,0.0001287977,0.0006485383,0.000007399353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295479,"about_ca_system_score_gemma":0.0004070315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002594043,"about_ca_topic_score_gemma":0.00455715,"domain_scores_codex":[0.9972518,0.0008358615,0.0005036597,0.0004718828,0.0002822108,0.0006545672],"domain_scores_gemma":[0.9989797,0.0007048967,0.00005377531,0.0001408602,0.00002641805,0.00009436181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004548413,0.00008999802,0.9743672,0.000004774256,0.000006355788,0.00005285455,0.01008448,0.000004034775,0.000008664532,0.00397183,0.001977878,0.009386418],"study_design_scores_gemma":[0.0006732167,0.00002415949,0.9412984,0.0003150014,0.000003917898,4.51371e-7,0.008887192,0.0007840561,0.000003582629,0.04682527,0.001031618,0.0001531299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759367,0.005653665,0.000805141,0.0006280985,0.001082709,0.0004198445,0.000005482653,0.00002411575,0.01544423],"genre_scores_gemma":[0.975099,0.0238329,0.0005194593,0.0003406984,0.0000339393,0.000115877,0.00000360593,0.00000548665,0.00004901806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04285344,"threshold_uncertainty_score":0.7338204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767743452044327,"score_gpt":0.3144367607051731,"score_spread":0.2967593261847298,"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."}}