{"id":"W6958157303","doi":"10.6068/dp14ba8559e1a86","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: Sales of goods for resale, Chain stores, Furniture stores | 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; Retail sales; Summary statistics; Goods and services; Index (typography); Financial services; 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":[0.001364871,0.002667354,0.002540564,0.008150406,0.002176616,0.004370952,0.005155743,0.001267182,0.06536223],"category_scores_gemma":[0.0116679,0.001491903,0.001773774,0.03947531,0.0005671135,0.002410291,0.001837679,0.002757415,0.07208891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02560845,"about_ca_system_score_gemma":0.06057119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850165,"about_ca_topic_score_gemma":0.9823575,"domain_scores_codex":[0.9968851,0.0001646921,0.0003111992,0.0005062071,0.001413507,0.0007192791],"domain_scores_gemma":[0.9788944,0.0007215676,0.0008424005,0.0007218705,0.01788845,0.0009312411],"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":[0.00002372124,0.000006143858,0.001023008,0.0001638235,0.00001762387,0.000006713886,0.0000113366,0.0001010957,0.000009049612,0.0001958628,0.9973994,0.001042148],"study_design_scores_gemma":[0.000203981,0.00001525628,0.02964702,0.0006879626,0.00005693142,0.00003059415,0.0003869524,0.0006773167,0.0002172145,0.0005290778,0.9674652,0.00008249377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004803041,0.00002521734,0.00001193573,0.00004651442,0.00001466609,0.000006373548,0.9993802,0.00003942544,0.0004275445],"genre_scores_gemma":[0.000361862,0.00009382692,0.0001180016,0.0000455247,0.000008428847,0.00003579745,0.9976783,0.00004317358,0.001615089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06536223,"threshold_uncertainty_score":0.2186584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0378843413452057,"score_gpt":0.2499666558249066,"score_spread":0.2120823144797009,"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."}}