{"id":"W6920263467","doi":"10.6068/dp14ba8be64e287","title":"Trend 1999 - 2009. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, financial estimates by store type and trade group based on the North American Industry Classification System (NAICS) | Variable: Total operating revenue, Chain stores, Used and recreational motor vehicle and parts dealers | Units: , 1999-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-177.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Retail trade; Census; Economic statistics; Summary statistics; Descriptive statistics; Retail sales; Year-ending; Index (typography); Financial services","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":[0.00151179,0.002662789,0.002559846,0.008188723,0.002270433,0.004423298,0.005089631,0.001262774,0.06627243],"category_scores_gemma":[0.01248906,0.001576869,0.001837728,0.04033203,0.0005699739,0.002449443,0.001917667,0.002775836,0.06509577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02977422,"about_ca_system_score_gemma":0.07209808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876628,"about_ca_topic_score_gemma":0.9844226,"domain_scores_codex":[0.996484,0.0001831776,0.0003679756,0.0005184133,0.001643901,0.0008024299],"domain_scores_gemma":[0.9741363,0.0008093903,0.0009588629,0.0007625833,0.02230173,0.001031087],"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":[0.00002673088,0.000007171016,0.00122377,0.0001889043,0.00001924305,0.000007417073,0.00001248532,0.0001108254,0.00000964148,0.0002112991,0.9969963,0.001186224],"study_design_scores_gemma":[0.0002098468,0.00001732893,0.03689748,0.0008131801,0.00006428202,0.00003228772,0.0004322207,0.000686068,0.0002419094,0.0005190998,0.9599998,0.00008654028],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005296255,0.00002659602,0.00001221929,0.00005157095,0.00001565687,0.00000757508,0.9993298,0.00003695923,0.0004665933],"genre_scores_gemma":[0.0004427829,0.0001154611,0.0001322505,0.00005519256,0.000009632791,0.00004352106,0.9971253,0.00004619746,0.002029605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06627243,"threshold_uncertainty_score":0.2217034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702496794181841,"score_gpt":0.2407134901203634,"score_spread":0.203688522178545,"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."}}