{"id":"W6901551730","doi":"10.6068/dp14ba84832a17","title":"Trend 2007 - 2011. Statistics Canada. CANSIM: Culture and Leisure - Sound Recording | Country: Canada | Table: Sound recording and music publishing, operating expenses, by North American Industry Classification System (NAICS) | Variable: Professional and business services fees, Sound recording industries | Units: $CAD, 2007-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-052.","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; Economic statistics; Sound (geography); Official statistics; Publishing; Population; Nationality; Entertainment; Statistical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.002261448,0.002034215,0.00247709,0.0003846343,0.00148159,0.004225772,0.002618413,0.001901867,0.001266738],"category_scores_gemma":[0.0005111622,0.001978406,4.956177e-7,0.001160084,0.0008374295,0.003602237,0.001900603,0.004493164,0.00003048517],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309359,"about_ca_system_score_gemma":0.01621117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9995818,"about_ca_topic_score_gemma":0.9989979,"domain_scores_codex":[0.9889305,0.001412423,0.002138454,0.003341184,0.002258919,0.001918497],"domain_scores_gemma":[0.9895436,0.001502325,0.003682228,0.002984796,0.0007205648,0.00156654],"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":[0.0001795526,0.00007098236,0.007718477,0.002774005,0.000649621,0.0002790546,0.00002359622,0.00001635528,0.000006039566,0.0002236129,0.9877303,0.0003284083],"study_design_scores_gemma":[0.001304773,0.00008526217,0.00008371752,0.0005439367,0.0008699444,0.0008444402,0.009907126,0.002878747,1.87823e-8,6.130992e-7,0.9812219,0.002259484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001076155,0.006885172,0.00001692026,0.00001249928,0.002483363,0.001553318,0.9874526,0.0002686549,0.001219839],"genre_scores_gemma":[0.0003932834,0.0009645727,0.0005015192,0.0002582685,0.001295061,0.0000848283,0.9924495,0.0008444311,0.003208541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01490181,"threshold_uncertainty_score":0.9998183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03856685434381171,"score_gpt":0.2565023852288357,"score_spread":0.217935530885024,"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."}}