{"id":"W6901585328","doi":"10.6068/dp14ba8685bfa47","title":"Trend 2008 - 2011. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, financial estimates by North American Industry Classification System (NAICS) and store type | Variable: Total labour remuneration, Gasoline stations, Total all stores | Units: , 2008-2011. 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":"Census; Economic statistics; Retail trade; Retail sales; Summary statistics; Index (typography); Official statistics; Financial services; Retail industry","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":[0.001445862,0.002645267,0.002574394,0.008523811,0.002348739,0.004721028,0.005094455,0.001290229,0.07854056],"category_scores_gemma":[0.01223659,0.001602917,0.001875723,0.04258158,0.0005602102,0.002629014,0.001987621,0.002814309,0.07490566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02958208,"about_ca_system_score_gemma":0.07265664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9877411,"about_ca_topic_score_gemma":0.9852194,"domain_scores_codex":[0.9966077,0.0001711042,0.0003320606,0.0004937191,0.001567902,0.0008276472],"domain_scores_gemma":[0.9750426,0.0007842213,0.0009314728,0.0007288651,0.02144893,0.001063956],"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":[0.00002203942,0.000006204541,0.00109852,0.0001783193,0.00001671525,0.000006757779,0.00001401806,0.0000984248,0.00000825404,0.000217501,0.9971103,0.001223012],"study_design_scores_gemma":[0.0001659455,0.00001511986,0.031537,0.0007692451,0.00005700245,0.00002992102,0.0004512653,0.0006110454,0.0001998203,0.0005166534,0.9655641,0.00008292661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005689962,0.0000288367,0.00001399513,0.0000586762,0.00001588556,0.000007952888,0.9992055,0.0000430286,0.0005692469],"genre_scores_gemma":[0.0004764253,0.0001338519,0.0001626527,0.00006211402,0.00001054533,0.00005132582,0.9965374,0.00005979164,0.002505818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07854056,"threshold_uncertainty_score":0.2627444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303396895456569,"score_gpt":0.2521532763865052,"score_spread":0.2191193074319395,"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."}}