{"id":"W2971414287","doi":"","title":"On the crime beat 2.0: Citizen journalism, crowd-sourced policing and the police narrative in Canadian news","year":2017,"lang":"en","type":"article","venue":"","topic":"Crime, Deviance, and Social Control","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Police brutality; Narrative; Journalism; Criminology; Political science; Citizen science; Media studies; Sociology; Law; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00422951,0.0005991531,0.0005273022,0.008045379,0.0239802,0.02689025,0.001985173,0.003254629,0.01399098],"category_scores_gemma":[0.0180556,0.0006593126,0.0003644757,0.01242371,0.01311104,0.006640251,0.004190161,0.004767861,0.0008509585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08501184,"about_ca_system_score_gemma":0.08168087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9841546,"about_ca_topic_score_gemma":0.9922096,"domain_scores_codex":[0.9960061,0.0007222429,0.00009132788,0.0002305985,0.001595121,0.001354782],"domain_scores_gemma":[0.9822729,0.006306223,0.002223323,0.0005729041,0.004920271,0.003704327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002880311,0.00009997164,0.04500435,0.0004450031,0.00006954376,0.001555766,0.464284,0.0003755741,0.0004590718,0.1138271,0.314211,0.05938053],"study_design_scores_gemma":[0.00002690118,0.00002671988,0.09698297,0.0006657987,0.000062997,0.0002191436,0.4863554,0.0004463847,0.0002716027,0.004822779,0.409932,0.0001872226],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4675091,0.01356645,0.0005646409,0.192382,0.002070266,0.00007530228,0.004668038,0.0001617389,0.3190024],"genre_scores_gemma":[0.9599263,0.005170939,0.0002594667,0.006065057,0.0008044556,0.00003077186,0.0008015612,0.0001710687,0.02677034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08501184,"threshold_uncertainty_score":0.616807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660165370059201,"score_gpt":0.3305961269789263,"score_spread":0.3039944732783342,"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."}}