{"id":"W6957663887","doi":"10.6068/dp14ba8c28c8c27","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: Number of stores, Supermarkets and other grocery (except convenience) stores, 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; Retail trade; Economic statistics; Retail sales; Summary statistics; Index (typography); Financial services; Retail industry; Official statistics","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":[0.001573839,0.002635928,0.002641257,0.008593099,0.002271231,0.004483604,0.00515816,0.001253858,0.07182834],"category_scores_gemma":[0.01349814,0.001633734,0.0019321,0.04257417,0.0005652291,0.002518478,0.001968427,0.002860552,0.06683353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03106918,"about_ca_system_score_gemma":0.07690934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875571,"about_ca_topic_score_gemma":0.9849048,"domain_scores_codex":[0.9963164,0.0001955084,0.0003833166,0.0005177283,0.001754151,0.0008328925],"domain_scores_gemma":[0.9710734,0.000932421,0.001029555,0.0008241513,0.02499193,0.001148396],"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":[0.00002268761,0.000006251963,0.001052687,0.0001871613,0.00001754017,0.000006301912,0.00001253084,0.00009204636,0.000007906728,0.0002044767,0.997196,0.001194543],"study_design_scores_gemma":[0.0001900074,0.00001619037,0.03329704,0.0008211443,0.00006539594,0.00003081709,0.0004189002,0.0006053884,0.0002062814,0.0005302492,0.9637339,0.00008462121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005294657,0.00003071612,0.00001362914,0.00005977245,0.00001693861,0.000008018329,0.999253,0.00004263657,0.0005224159],"genre_scores_gemma":[0.0004555485,0.0001341115,0.0001588089,0.00006546034,0.00001114484,0.0000502136,0.9968004,0.00005759148,0.002266731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07182834,"threshold_uncertainty_score":0.2402897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411739909461082,"score_gpt":0.2529905428869691,"score_spread":0.2188731437923583,"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."}}