{"id":"W6901770726","doi":"10.6068/dp14ba8397f4e17","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: Gross margin, Gasoline stations, Non-chain 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); Financial services; Official statistics; Goods and 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":[0.001359519,0.002627818,0.002532702,0.008365519,0.002268822,0.004665966,0.004975887,0.001266329,0.07362482],"category_scores_gemma":[0.01147513,0.001518359,0.001834841,0.04073186,0.0005781783,0.002567759,0.001941472,0.002745699,0.0732878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03005269,"about_ca_system_score_gemma":0.07129868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882165,"about_ca_topic_score_gemma":0.9855036,"domain_scores_codex":[0.9967538,0.0001657531,0.0002994703,0.0004850842,0.001490626,0.0008053748],"domain_scores_gemma":[0.9771265,0.0007544382,0.0008724944,0.0007025052,0.01953506,0.001008988],"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":[0.00002129034,0.000006014685,0.001049025,0.0001636793,0.0000165257,0.000006912233,0.00001324651,0.0001059525,0.000008314542,0.0002300706,0.997196,0.001182949],"study_design_scores_gemma":[0.0001500787,0.00001355581,0.02551417,0.0006610324,0.0000505569,0.00002880206,0.0003994623,0.0006233233,0.0001957899,0.0005105808,0.971774,0.0000786388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000054738,0.00003061882,0.00001458925,0.00005885992,0.00001537179,0.000006731742,0.9992189,0.00004595067,0.0005543401],"genre_scores_gemma":[0.0004882026,0.0001349091,0.0001664678,0.00006082334,0.000009936555,0.0000437427,0.9965887,0.00006160579,0.002445628],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07362482,"threshold_uncertainty_score":0.2462996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03303587607881586,"score_gpt":0.2522133374181872,"score_spread":0.2191774613393714,"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."}}