{"id":"W6901503633","doi":"10.6068/dp14ba833204f5","title":"Trend 1984 - 1992. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Direct selling, by method of sale and commodity | Variable: Video tapes, games and equipment, Sales by mail | Units: $CAD x 1,000, 1984-1992. 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":"Economic statistics; Commodity; Census; Retail trade; Summary statistics; Retail sales; 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":[0.001455526,0.002495118,0.002591782,0.00940463,0.002455805,0.004112557,0.005058059,0.001306696,0.06999172],"category_scores_gemma":[0.01308291,0.001568669,0.00171762,0.04506749,0.0006150605,0.00231735,0.001855,0.002723121,0.05952753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03453307,"about_ca_system_score_gemma":0.08346456,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9901209,"about_ca_topic_score_gemma":0.9868737,"domain_scores_codex":[0.9965088,0.0001837088,0.0003546926,0.0005171241,0.001612834,0.0008227918],"domain_scores_gemma":[0.974448,0.0008611713,0.001041752,0.0007895501,0.02172337,0.001136116],"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":[0.00002437522,0.000006551892,0.001165275,0.0002015504,0.00001964332,0.00000778265,0.00001600369,0.0001382627,0.000009056748,0.000326604,0.9968113,0.00127348],"study_design_scores_gemma":[0.0001540609,0.00001398687,0.03066692,0.0006762168,0.00005963933,0.00002727669,0.0004071011,0.0005876762,0.0001815423,0.0005501385,0.9666003,0.00007516239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005633705,0.0000327163,0.00001495244,0.00005345189,0.00001294308,0.000007421021,0.999279,0.00003976494,0.0005034657],"genre_scores_gemma":[0.0005923565,0.0001515027,0.0001695315,0.00005011958,0.000009284895,0.00005382525,0.9965768,0.00005176121,0.002344729],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06999172,"threshold_uncertainty_score":0.2505561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03653234916542719,"score_gpt":0.268608493788784,"score_spread":0.2320761446233568,"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."}}