{"id":"W6957779938","doi":"10.6068/dp14ba7c9f05384","title":"Trend 2005 - 2011. Statistics Canada. CANSIM: Business, Consumer and Property Services - Information and Culture | Country: Canada | Table: Sound recording and music publishing, summary statistics, by North American Industry Classification System (NAICS) | Variable: Music publishers, Operating expenses (x 1,000,000) | Units: , 2005-2011. 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":"Census; Publishing; Economic statistics; Official statistics; The Internet; Publication; Summary statistics; Sound (geography)","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":[0.002187505,0.002556421,0.002963019,0.009577656,0.003500435,0.005696708,0.00542382,0.001685235,0.08906113],"category_scores_gemma":[0.02290139,0.001802252,0.002168611,0.04738998,0.0007368041,0.003065593,0.002574874,0.003406134,0.06160596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05161226,"about_ca_system_score_gemma":0.1499949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925517,"about_ca_topic_score_gemma":0.9904469,"domain_scores_codex":[0.995006,0.0003210546,0.0005695865,0.0006248779,0.002403529,0.001075051],"domain_scores_gemma":[0.9572883,0.001635232,0.001173583,0.001197308,0.03688782,0.001817736],"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":[0.00001759616,0.000004984517,0.0007016775,0.0001959644,0.00001651161,0.000005595191,0.0000150808,0.00008651944,0.000006574607,0.0002939222,0.9975076,0.001147947],"study_design_scores_gemma":[0.0001400222,0.00001072037,0.01692684,0.000907329,0.00007107719,0.00002518674,0.0004557853,0.0004845186,0.0001653717,0.0007230009,0.980008,0.00008227464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004277057,0.00004561165,0.00002212088,0.0001417627,0.00002974524,0.00001268442,0.9989103,0.00005428976,0.0007406288],"genre_scores_gemma":[0.0006167863,0.0002594116,0.0003185625,0.0001613002,0.00002071466,0.0001108505,0.9952686,0.00009335373,0.003150376],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08906113,"threshold_uncertainty_score":0.3744749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02837131818998662,"score_gpt":0.2261748567823791,"score_spread":0.1978035385923925,"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."}}