{"id":"W6901778476","doi":"10.6068/dp14ba832688636","title":"Trend 1999 - 2007. Statistics Canada. CANSIM: Information and Communications Technology - Television and Radio Industries | Country: Canada | Table: Radio listening, percentage share by radio station format and audience occupation | Variable: Occupation unknown, Golden-oldies, rock music | Units: %, 1999-2007. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-129.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Census; Publication; Official statistics; Radio broadcasting; Commercial broadcasting; Cable television","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":[0.002015079,0.00247375,0.002713429,0.009564366,0.003367094,0.004932127,0.005332461,0.001620533,0.09270667],"category_scores_gemma":[0.01868928,0.001611258,0.002212041,0.04412226,0.0006758209,0.002731198,0.002279963,0.003148699,0.05491662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05145714,"about_ca_system_score_gemma":0.1404201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99389,"about_ca_topic_score_gemma":0.9916993,"domain_scores_codex":[0.9954765,0.0002571151,0.000463161,0.0005417777,0.002232657,0.001028794],"domain_scores_gemma":[0.9623216,0.001294905,0.001074235,0.0009243278,0.03285698,0.001527873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002042136,0.000006069159,0.0009800401,0.0002817457,0.00001905573,0.00000681323,0.00001837903,0.0001044324,0.000008937665,0.0003571374,0.9966301,0.001566679],"study_design_scores_gemma":[0.0001379524,0.00001286256,0.02275291,0.0009754013,0.00007616283,0.0000289776,0.0004757354,0.0004464773,0.0001787006,0.0006219288,0.9742166,0.00007631158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004903755,0.0000586029,0.00002224031,0.0001223212,0.000029216,0.00001458203,0.9987904,0.0000470318,0.0008665595],"genre_scores_gemma":[0.000858307,0.0003496155,0.0003340494,0.0001614618,0.00002191532,0.0001240943,0.9937238,0.0001056334,0.004321084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09270667,"threshold_uncertainty_score":0.3733495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296574681695054,"score_gpt":0.2503259780579136,"score_spread":0.2273602312409631,"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."}}