{"id":"W1832842522","doi":"","title":"If You Don’t Like It Change the Channel: Radio Censorship Policies and Enforcement in Canada","year":2013,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Censorship; Enforcement; Transparency (behavior); Public broadcasting; Accountability; Media policy; Political science; Broadcasting (networking); Public relations; Public administration; Advertising; Media studies; Business; Sociology; Law; Computer security; Computer science","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":[0.007586566,0.0002666861,0.0006713507,0.002220473,0.03797815,0.01014766,0.00303365,0.002424649,0.004597692],"category_scores_gemma":[0.02687133,0.0005794212,0.0004195685,0.005072446,0.01416016,0.002364661,0.003691392,0.004489501,0.0002327376],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.262096,"about_ca_system_score_gemma":0.3739453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985173,"about_ca_topic_score_gemma":0.999077,"domain_scores_codex":[0.9867207,0.00183393,0.0003760982,0.00117863,0.004981075,0.004909527],"domain_scores_gemma":[0.9660681,0.00888155,0.003932242,0.001082547,0.01319348,0.006842064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003006398,0.0004693438,0.2147326,0.0004391628,0.0001497018,0.001663454,0.5489079,0.002222412,0.001852551,0.1144511,0.03743833,0.07737292],"study_design_scores_gemma":[0.00007070031,0.0001174905,0.3195516,0.0006188991,0.0001041556,0.0001965778,0.5316858,0.002371438,0.0008763277,0.004273531,0.1398883,0.0002453073],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9092594,0.00177871,0.000641599,0.02217155,0.0000990469,0.000156451,0.0003360944,0.00003504149,0.06552213],"genre_scores_gemma":[0.9904904,0.000554826,0.0002118118,0.001155162,0.000009148135,0.00002348169,0.00007283594,0.00001770111,0.00746463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.262096,"threshold_uncertainty_score":0.855864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02371696763151505,"score_gpt":0.2137275067149231,"score_spread":0.190010539083408,"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."}}