{"id":"W3198415349","doi":"10.1215/00703370-9774978","title":"Safer If Connected? Mobile Technology and Intimate Partner Violence","year":2022,"lang":"en","type":"article","venue":"Demography","topic":"Social Media and Politics","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Max-Planck-Institut für demografische Forschung; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Mobile phone; Socioeconomic status; Domestic violence; Empowerment; Poison control; Bargaining power; Business; Demographic economics; Psychology; Suicide prevention; Population; Economic growth; Political science; Economics; Sociology; Demography; Medicine; Environmental health","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":[0.0001863498,0.00007113596,0.000117911,0.0002713656,0.0008638858,0.00002334269,0.0001863001,0.00007808009,0.0003740864],"category_scores_gemma":[0.00008005413,0.00007686068,0.00004856745,0.001222227,0.0006214678,0.0000472367,0.00009957619,0.0001905393,0.00001114975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002076125,"about_ca_system_score_gemma":0.00005261551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003218311,"about_ca_topic_score_gemma":0.00004557919,"domain_scores_codex":[0.9990417,0.0001427224,0.0001076401,0.0001681197,0.000210446,0.0003293228],"domain_scores_gemma":[0.9995724,0.0001401225,0.00004272107,0.0001104182,0.00003939018,0.0000949714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001071964,0.0000767399,0.4755788,0.000009584052,0.00004051558,0.00001685468,0.01628459,0.000004451929,0.0002109724,0.4712403,0.002670111,0.03385637],"study_design_scores_gemma":[0.0002525171,0.0001220261,0.006800571,0.00001006273,0.00002922131,0.000003814109,0.06066326,0.00001671345,0.0002126536,0.09619109,0.8354616,0.0002364741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901834,0.0007528432,0.00001693236,0.001105847,0.000543439,0.0002227195,0.00002232606,0.0001761687,0.00697637],"genre_scores_gemma":[0.9987544,0.0003147248,0.0001265754,0.0003964397,0.0001075509,0.0002022508,0.000003887607,0.000008049125,0.0000860743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8327915,"threshold_uncertainty_score":0.6644399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053441404409422,"score_gpt":0.290153077578527,"score_spread":0.2796186635344328,"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."}}