{"id":"W4367676118","doi":"10.32920/22732424.v1","title":"The Canadian News Directors Study: Demographics and Political Leanings of Television Decision-Makers","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Demographics; Voting; Politics; Political science; Population; Ethnic group; Demographic economics; Demography; Sociology; Economics; Law","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":[0.001209104,0.0002622313,0.0002802735,0.002205894,0.00509904,0.002413392,0.00071911,0.0004746104,0.008075204],"category_scores_gemma":[0.004444905,0.000287429,0.0002320868,0.004387078,0.0009038527,0.0008617394,0.0006793943,0.0007625864,0.0007422341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01596868,"about_ca_system_score_gemma":0.01897432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9874866,"about_ca_topic_score_gemma":0.9946851,"domain_scores_codex":[0.9990057,0.00009306108,0.0000292516,0.0000796425,0.0004197605,0.0003725171],"domain_scores_gemma":[0.9964327,0.0003750451,0.0005999087,0.0001182034,0.001190416,0.001283727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001446886,0.0001060227,0.9294217,0.00004982693,0.00003369553,0.0001516713,0.0225399,0.00006797472,0.0002648112,0.001183411,0.02515025,0.02088598],"study_design_scores_gemma":[0.000006913041,0.0000151355,0.9728116,0.00002847001,0.00001056135,0.00003517783,0.01615061,0.00007311733,0.00007299095,0.0000558466,0.01072138,0.00001820267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674793,0.001002035,0.00007707732,0.00228364,0.00004274921,0.00004978921,0.005903026,0.000009444201,0.02315292],"genre_scores_gemma":[0.9877958,0.0008385036,0.00007213481,0.000356654,0.00002281124,0.00002841044,0.00186892,0.00001272046,0.009003954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01596868,"threshold_uncertainty_score":0.1158614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05487494330139994,"score_gpt":0.3571521322749782,"score_spread":0.3022771889735782,"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."}}