{"id":"W6939161103","doi":"10.6068/dp14ba8813c1679","title":"Trend 1999 - 2012. Statistics Canada. CANSIM: Information and Communications Technology - Television and Radio Industries | Country: Canada | Table: Radio broadcasting industry, by type of broadcaster | Variable: Private FM radio broadcasters, Net profit (loss) after income taxes | Units: , 1999-2012. 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; Broadcasting (networking); Radio broadcasting; Census; Official statistics; Commercial broadcasting; Cable television; 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":[0.002101959,0.002501447,0.002898584,0.009375298,0.003373687,0.004917022,0.005591388,0.001679295,0.09486305],"category_scores_gemma":[0.02037524,0.001654197,0.002278451,0.0443608,0.0006654948,0.00280163,0.002301569,0.003218812,0.05577086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05043953,"about_ca_system_score_gemma":0.1382709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931446,"about_ca_topic_score_gemma":0.990858,"domain_scores_codex":[0.9955196,0.0002793474,0.0004861007,0.0005837953,0.002148402,0.0009826802],"domain_scores_gemma":[0.9609205,0.001347317,0.001131404,0.001077395,0.03393102,0.001592388],"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":[0.00002214427,0.000005983519,0.000911353,0.0003012912,0.00002096591,0.000006826782,0.000018189,0.0001069308,0.000009255753,0.0003873812,0.996626,0.001583684],"study_design_scores_gemma":[0.0001447359,0.00001258992,0.01993654,0.0009923655,0.00008041093,0.00002813106,0.0004003022,0.0004226564,0.0001638018,0.000693452,0.9770471,0.00007783392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004381437,0.0000575913,0.00002329563,0.000121147,0.00002742251,0.0000152198,0.9988557,0.00004752364,0.0008081904],"genre_scores_gemma":[0.000791442,0.0003379183,0.0003475217,0.0001595397,0.00002156401,0.0001327956,0.9942309,0.0001077431,0.003870571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09486305,"threshold_uncertainty_score":0.3659661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02536132418409408,"score_gpt":0.2507190121969038,"score_spread":0.2253576880128098,"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."}}