{"id":"W6901799530","doi":"10.6068/dp14ba815348d46","title":"Trend 1999 - 2011. Statistics Canada. CANSIM: Business Performance and Ownership - Business Cycles | Country: Canada | Table: Financial and taxation statistics for enterprises, by North American Industry Classification System (NAICS) | Variable: Operating expenses, Gasoline stations (x 1,000,000) | Units: , 1999-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-018.","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; Business statistics; Census; Official statistics; Business cycle; Summary statistics; Publication; Year-ending; 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":[0.002105493,0.002248133,0.002406958,0.01020289,0.003148429,0.00499449,0.004638521,0.001407843,0.07415266],"category_scores_gemma":[0.01811816,0.00171057,0.00205117,0.04548685,0.0005675266,0.002691246,0.002277281,0.003085632,0.0454379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05916113,"about_ca_system_score_gemma":0.1463277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949862,"about_ca_topic_score_gemma":0.9931264,"domain_scores_codex":[0.9953982,0.0002496978,0.0004495129,0.0004729822,0.002385072,0.001044517],"domain_scores_gemma":[0.9590121,0.001263492,0.001211512,0.0009836103,0.0359427,0.00158658],"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":[0.00002128373,0.000007288462,0.001275554,0.000232947,0.00002138936,0.000007317854,0.00002165033,0.0001325501,0.000008536856,0.0004552625,0.9959133,0.001902951],"study_design_scores_gemma":[0.0001177268,0.00001276188,0.03197625,0.0008097134,0.00007011805,0.00002620682,0.0004853543,0.0005745571,0.0002031242,0.0006652604,0.9649659,0.00009304018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007041992,0.00006117337,0.00002954937,0.0001422555,0.0000307465,0.00001715837,0.9984924,0.00005987141,0.001096531],"genre_scores_gemma":[0.00103755,0.0003601988,0.000426561,0.0001362103,0.00002031083,0.0001223644,0.9924806,0.0001084026,0.005307792],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07415266,"threshold_uncertainty_score":0.429246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02897591606701149,"score_gpt":0.2462972941041666,"score_spread":0.2173213780371551,"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."}}