{"id":"W2089978789","doi":"10.3138/cjccj.46.5.573","title":"Comparing American and Canadian Local Television Crime Stories: A Content Analysis","year":2004,"lang":"en","type":"article","venue":"Canadian Journal of Criminology and Criminal Justice/La Revue canadienne de criminologie et de justice pénale","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Context (archaeology); Content analysis; Economic Justice; Criminology; Advertising; Criminal justice; Political science; Sociology; Law; Media studies; History; Business; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002089917,0.000339515,0.0008470864,0.001188163,0.001553861,0.0001835541,0.000742132,0.0003506706,0.00004539627],"category_scores_gemma":[0.004025726,0.0003638934,0.0001678588,0.0003926301,0.002942528,0.000286699,0.00007135534,0.001048229,0.000003818574],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002697654,"about_ca_system_score_gemma":0.007482391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8751133,"about_ca_topic_score_gemma":0.9851741,"domain_scores_codex":[0.9963467,0.00068043,0.0006624582,0.0004118292,0.0001533744,0.00174521],"domain_scores_gemma":[0.9942825,0.0009777573,0.0004807836,0.0003756753,0.0006699747,0.003213289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002465113,0.0001068342,0.02851089,0.0009231362,0.001182473,0.004086154,0.3291158,0.002290096,0.0001313957,0.5792519,0.0005860193,0.0535688],"study_design_scores_gemma":[0.0008477595,0.0006290695,0.215883,0.000216609,0.01768219,0.001236241,0.7444031,0.0002438429,0.00002581885,0.002505911,0.01574172,0.0005847231],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775043,0.003843633,0.00378419,0.009949844,0.0004090931,0.0001695758,0.00002112173,0.000022296,0.004295916],"genre_scores_gemma":[0.9911115,0.003766597,0.002530636,0.002200763,0.0002690248,0.00001351882,0.000009494648,0.00002457155,0.00007388768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.576746,"threshold_uncertainty_score":0.9998813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1780797566667149,"score_gpt":0.3432171044516916,"score_spread":0.1651373477849766,"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."}}