{"id":"W2267621655","doi":"10.1177/1077801215602345","title":"“Police Wouldn’t Give You No Help”","year":2015,"lang":"en","type":"article","venue":"Violence Against Women","topic":"Sexual Assault and Victimization Studies","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medical emergency; Human factors and ergonomics; Poison control; Suicide prevention; Computer security; Occupational safety and health; Medicine; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002357553,0.0003510433,0.000313025,0.0004917702,0.004413663,0.001750298,0.0007572017,0.001171453,0.01831772],"category_scores_gemma":[0.008281285,0.0002193063,0.0002757215,0.0004789714,0.00230091,0.002016314,0.001653885,0.002091079,0.005537751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009716414,"about_ca_system_score_gemma":0.0019944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007599084,"about_ca_topic_score_gemma":0.01252514,"domain_scores_codex":[0.9972114,0.001433273,0.000135039,0.0001970477,0.0006420385,0.0003811707],"domain_scores_gemma":[0.9972757,0.0003596121,0.0007469301,0.000273744,0.000936094,0.0004079631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002970346,0.0005049235,0.1372762,0.001173301,0.0002270457,0.002644452,0.1071914,0.000226033,0.004284104,0.04221302,0.427974,0.2759886],"study_design_scores_gemma":[0.0000361918,0.0005004521,0.07347734,0.001197911,0.00009989684,0.004457432,0.1930999,0.0002819797,0.001927854,0.008543049,0.716263,0.0001149693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5538136,0.005036188,0.007664502,0.1447841,0.002963536,0.0003909121,0.001827853,0.0003769658,0.2831423],"genre_scores_gemma":[0.8954514,0.003675128,0.002828612,0.03274088,0.0003738489,0.0001963358,0.0004292156,0.00006369314,0.06424103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01831772,"threshold_uncertainty_score":0.06127888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04138915783936588,"score_gpt":0.3282297762626836,"score_spread":0.2868406184233178,"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."}}