{"id":"W6938957867","doi":"10.6068/dp14ba887346213","title":"Most Recent Data (2010). Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, method of sale by North American Industry Classification System (NAICS) and store type | Variable: Catalogue, mail-order or telephone, Department stores, Total all stores | Units: $CAD x 1,000, 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-177.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Retail trade; Retail sales; Summary statistics; Official statistics; Index (typography); 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":[0.001671826,0.002764155,0.002743495,0.008392357,0.002665035,0.004657676,0.005336345,0.001413215,0.08742663],"category_scores_gemma":[0.0154155,0.001582943,0.001826694,0.04728998,0.0006585744,0.00243858,0.001979005,0.003047486,0.08324002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03280789,"about_ca_system_score_gemma":0.08297539,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875335,"about_ca_topic_score_gemma":0.985709,"domain_scores_codex":[0.9957939,0.0002119934,0.0004374942,0.0005817091,0.002072399,0.000902506],"domain_scores_gemma":[0.9662181,0.001238827,0.001026529,0.0009222811,0.02925259,0.001341693],"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":[0.0000184816,0.000006582286,0.0008280394,0.0001730196,0.00001295107,0.000005182786,0.00001082263,0.0000835866,0.000006967127,0.0001462838,0.9978034,0.0009047421],"study_design_scores_gemma":[0.0002165821,0.00001483859,0.03172906,0.0007066836,0.00005979701,0.00002405398,0.0004117578,0.000426198,0.0001742967,0.0004347638,0.9657209,0.00008106801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004509995,0.00002931997,0.000009882828,0.00005617246,0.00001477088,0.000006950872,0.9992743,0.00003617088,0.0005272765],"genre_scores_gemma":[0.0003876389,0.0001226926,0.0001289077,0.00006810438,0.00001037738,0.00004832554,0.9970691,0.00004464521,0.002120272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08742663,"threshold_uncertainty_score":0.2924712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859091620149713,"score_gpt":0.2557530280372685,"score_spread":0.2071621118357714,"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."}}