{"id":"W6957964864","doi":"10.6068/dp14ba7c7bc8762","title":"Trend 1998 - 2003. Statistics Canada. CANSIM: Labor - Wages, Salaries and Other Earnings | Country: Canada | Table: Sound recording industry, summary characteristics by Canadian- and foreign-controlled companies | Variable: Canadian-controlled companies, Cost of goods sold | Units: , 1998-2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-145.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Earnings; Economic statistics; Census; Wages and salaries; Official statistics; Summary statistics; Socioeconomic status; Quarter (Canadian coin); National accounts","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":[0.001952034,0.002440599,0.00261167,0.008000496,0.003031998,0.004640414,0.005308807,0.001499274,0.08520684],"category_scores_gemma":[0.01456238,0.001718102,0.001802417,0.0388601,0.000580866,0.002308727,0.002034355,0.003030329,0.0539235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05295365,"about_ca_system_score_gemma":0.116769,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948607,"about_ca_topic_score_gemma":0.9925845,"domain_scores_codex":[0.9960497,0.0002249222,0.0003747379,0.000486232,0.001923487,0.0009410278],"domain_scores_gemma":[0.9714174,0.0008822912,0.0009207356,0.0007697822,0.02471898,0.001290772],"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":[0.00002430897,0.000007109953,0.0009234442,0.0001953379,0.00001698632,0.000006710761,0.00001817912,0.0001032375,0.000008191229,0.0003508318,0.9966691,0.001676498],"study_design_scores_gemma":[0.000149284,0.0000121401,0.02472297,0.0007452862,0.00005624017,0.00002510782,0.000429215,0.0004655319,0.0001794749,0.0006200267,0.9725146,0.00008015087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005520756,0.00005152693,0.00002270239,0.0001199993,0.0000252056,0.000012604,0.9987528,0.00005656222,0.0009032694],"genre_scores_gemma":[0.0009216437,0.0002974838,0.0003640561,0.0001572087,0.00001796646,0.0001063619,0.9930691,0.0001034526,0.004962808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08520684,"threshold_uncertainty_score":0.3842074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281001209192511,"score_gpt":0.2359401473615075,"score_spread":0.2131301352695824,"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."}}