{"id":"W6976613143","doi":"10.6068/dp14ba8268ab95","title":"Trend 1999 - 2012. Statistics Canada. CANSIM: Business, Consumer and Property Services - Information and Culture | Country: Canada | Table: Radio broadcasting industry, by type of broadcaster | Variable: Private FM radio broadcasters, Technical services | Units: , 1999-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-011.","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; Official statistics; Broadcasting (networking); Census; The Internet; Publishing; Radio broadcasting; Publication; 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":[0.002266009,0.002607077,0.003014723,0.009924104,0.003909288,0.005584854,0.005693967,0.001728689,0.0898895],"category_scores_gemma":[0.02279357,0.001797678,0.002304589,0.04669246,0.000736131,0.00306848,0.002671025,0.003369561,0.05609583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05749736,"about_ca_system_score_gemma":0.1592541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946235,"about_ca_topic_score_gemma":0.993242,"domain_scores_codex":[0.9948409,0.0003283799,0.0005655875,0.0006480019,0.002479821,0.001137377],"domain_scores_gemma":[0.954738,0.0015502,0.001210059,0.001259081,0.03934797,0.001894669],"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":[0.00002129625,0.000005829545,0.0009415073,0.0002418565,0.000021041,0.00000681799,0.00002039749,0.0001068291,0.00000836808,0.0003922607,0.9968652,0.001368395],"study_design_scores_gemma":[0.0001460553,0.00001145404,0.0188024,0.0009215398,0.00007831904,0.00002609135,0.00048967,0.0004878466,0.0001728326,0.0007257208,0.9780495,0.00008850925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004617189,0.00005033697,0.00002452449,0.0001431034,0.00002994019,0.00001455862,0.9988036,0.00005246816,0.0008352633],"genre_scores_gemma":[0.0007889158,0.0002804698,0.0003656949,0.0001670801,0.00001968225,0.0001277006,0.9945147,0.0001077723,0.003627959],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0898895,"threshold_uncertainty_score":0.4171746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02037319618377417,"score_gpt":0.2343834003566353,"score_spread":0.2140102041728611,"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."}}