{"id":"W6977142882","doi":"10.6068/dp14ba83cf18f42","title":"Trend 1990 - 2012. Statistics Canada. CANSIM: Culture and Leisure - Television Viewing and Radio Listening | Country: Canada | Table: Television broadcasting industry, by North American Industry Classification System (NAICS) | Variable: Pay television, Operating expenses, total | Units: , 1990-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-054.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Broadcasting (networking); Census; Official statistics; Active listening; Statistics education; Descriptive statistics; Economic statistics; Commercial broadcasting","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":[0.002062611,0.002424923,0.002831753,0.008729414,0.003151066,0.004549047,0.005278341,0.001487535,0.08026669],"category_scores_gemma":[0.01818985,0.00156297,0.002286754,0.04033617,0.000604727,0.002557397,0.002270852,0.00313688,0.04864863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04628082,"about_ca_system_score_gemma":0.1218406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936608,"about_ca_topic_score_gemma":0.9917315,"domain_scores_codex":[0.9959549,0.0002571175,0.0004249295,0.0005513137,0.001886904,0.0009249239],"domain_scores_gemma":[0.9667224,0.001107677,0.001043925,0.0009034441,0.02872575,0.001496704],"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":[0.000024542,0.000006152791,0.001158806,0.0002943702,0.0000247036,0.000006623544,0.00002267496,0.00009724941,0.00000933195,0.0003467768,0.9964045,0.001604221],"study_design_scores_gemma":[0.0001800928,0.00001522386,0.03124155,0.001023804,0.0001033657,0.00003359485,0.0005269882,0.0004680178,0.0001813917,0.0006791549,0.9654558,0.0000909588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005558004,0.00005733367,0.00002291562,0.0001164247,0.00002560391,0.00001345417,0.9989888,0.00004889695,0.0006709742],"genre_scores_gemma":[0.0008426485,0.0002922653,0.0003425463,0.0001469751,0.00002153619,0.0001242101,0.9946503,0.00009770747,0.003481814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08026669,"threshold_uncertainty_score":0.3357924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02879674709494905,"score_gpt":0.2568955146470271,"score_spread":0.228098767552078,"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."}}