{"id":"W1925862050","doi":"10.22230/cjc.2015v40n2a2828","title":"Producing Reality: Television Formats and Reality TV in the Canadian Context","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Reality television; Television industry; Politics; Context (archaeology); Reality tv; Order (exchange); Production (economics); Consumption (sociology); Political science; Advertising; Sociology; Media studies; Business; Geography; Social science; Economics; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.002763079,0.00005868169,0.0001925763,0.0002880192,0.0001939927,0.00007709902,0.0002946382,0.00003845269,0.000008276262],"category_scores_gemma":[0.0007695871,0.00005154191,0.00002563299,0.0001604997,0.00008057208,0.0002171327,0.00001372416,0.0002231736,0.000007070571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003613915,"about_ca_system_score_gemma":0.000556921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8024722,"about_ca_topic_score_gemma":0.9909254,"domain_scores_codex":[0.9992289,0.00006855562,0.000434644,0.00006783706,0.00003263107,0.0001674538],"domain_scores_gemma":[0.9988755,0.00006487071,0.0002638889,0.0003603036,0.0001168738,0.0003185491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003158312,0.00003781002,0.5183719,0.00004976465,0.00006888459,0.00004561293,0.1405584,0.00008155965,0.000001603842,0.1494488,0.1369431,0.05436091],"study_design_scores_gemma":[0.0005834913,0.00006556475,0.4241532,0.00009324726,0.000007306864,0.00009096214,0.005974791,0.0001438764,0.000003595138,0.03190732,0.5368544,0.0001222011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7755215,0.03864816,0.00005256518,0.138922,0.0003875443,0.0003862047,0.00006365209,0.000003832784,0.04601461],"genre_scores_gemma":[0.9984903,0.0006088368,0.00008263675,0.0007164361,0.00004582197,0.000003172141,0.000007260672,0.000004583859,0.00004090228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3999113,"threshold_uncertainty_score":0.2101818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179967060226689,"score_gpt":0.2737546208025125,"score_spread":0.1557579147798436,"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."}}