{"id":"W2133511626","doi":"10.7202/004744ar","title":"News that Counts: Newspaper Images of Crime and Victimization Statistics","year":2002,"lang":"en","type":"article","venue":"Criminologie","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Newspaper; Crime statistics; Social media; Mass media; Official statistics; News media; Political science; Public relations; Statistics; Sociology; Criminology; Law; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005445207,0.0003840231,0.0002582833,0.01457343,0.001976782,0.003195682,0.0005058221,0.0003961618,0.01167947],"category_scores_gemma":[0.006083752,0.0002241187,0.0001397469,0.02592186,0.0008285492,0.001580919,0.0006428974,0.0004903827,0.002323825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003038344,"about_ca_system_score_gemma":0.002633926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3512205,"about_ca_topic_score_gemma":0.5668059,"domain_scores_codex":[0.999103,0.00007409621,0.00007247149,0.00004430457,0.0005553644,0.0001508425],"domain_scores_gemma":[0.9909937,0.00318426,0.002120127,0.0002626884,0.00290154,0.0005376184],"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":[0.0004692324,0.0001926316,0.1710165,0.004074303,0.0001137378,0.002852208,0.04541643,0.0002741474,0.003998468,0.006532982,0.4896388,0.2754205],"study_design_scores_gemma":[0.000009162997,0.00004952464,0.6204163,0.0003545663,0.00006748363,0.000596188,0.02364254,0.0001592924,0.001579858,0.0001927938,0.3528928,0.00003954124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4174899,0.01705717,0.001191945,0.009651546,0.002434347,0.0003810878,0.1984982,0.0009853401,0.3523105],"genre_scores_gemma":[0.7962752,0.03258318,0.003221795,0.001764782,0.003405258,0.0002079538,0.08280658,0.0003073145,0.07942785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3512205,"threshold_uncertainty_score":0.6983525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4228797670371364,"score_gpt":0.4156897635980865,"score_spread":0.007190003439049852,"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."}}