{"id":"W6920577607","doi":"10.6068/dp14ba843a4f472","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 characteristics | Variable: Males 55 to 64 years, United States radio stations | 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; Radio broadcasting; Publication; Official statistics; Commercial broadcasting; Cable television; Summary statistics","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":[0.002106248,0.002447534,0.002689059,0.009445613,0.003207125,0.004880799,0.005304174,0.001543557,0.0991218],"category_scores_gemma":[0.01900158,0.001611879,0.002232888,0.04373998,0.0006364705,0.002709166,0.002213651,0.003103809,0.05709139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04959236,"about_ca_system_score_gemma":0.1370296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931607,"about_ca_topic_score_gemma":0.9903222,"domain_scores_codex":[0.9954475,0.0002753353,0.0004837196,0.0005290311,0.002254895,0.001009544],"domain_scores_gemma":[0.9603517,0.0013854,0.001129523,0.0009619918,0.03458305,0.001588342],"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":[0.00002170782,0.000006406444,0.0009921776,0.0002950841,0.00001966251,0.000006909362,0.00001882655,0.000105445,0.000009068001,0.0003746799,0.9963475,0.001802393],"study_design_scores_gemma":[0.0001317021,0.00001313369,0.02243826,0.0009940978,0.00007366514,0.00002895225,0.0004512836,0.0004290677,0.0001698266,0.0006333174,0.9745608,0.00007589798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005144121,0.00006364063,0.00002622926,0.0001276879,0.00003217406,0.00001699813,0.9986255,0.00005416822,0.001002253],"genre_scores_gemma":[0.0008870485,0.0003878605,0.0003936731,0.0001784567,0.00002422727,0.0001401916,0.9930217,0.0001237751,0.004843045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0991218,"threshold_uncertainty_score":0.3598195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939087048155498,"score_gpt":0.2462859508577467,"score_spread":0.2268950803761917,"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."}}