{"id":"W6901599143","doi":"10.6068/dp14ba86499f91","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: Purchases, Electronics and appliance 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; Economic statistics; Retail trade; Retail sales; Summary statistics; Index (typography); Official statistics; Financial services; Retail industry","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":[0.00139361,0.002636635,0.002596396,0.008344123,0.002313829,0.004669216,0.005111889,0.00127665,0.07195222],"category_scores_gemma":[0.01195361,0.001504557,0.001857099,0.04066422,0.0005829647,0.002596612,0.001994068,0.002764054,0.07343385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0292237,"about_ca_system_score_gemma":0.07065741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876459,"about_ca_topic_score_gemma":0.9852663,"domain_scores_codex":[0.9967381,0.0001745508,0.00030164,0.0004961945,0.001485833,0.0008035589],"domain_scores_gemma":[0.9770603,0.0007778011,0.0008557501,0.0007547486,0.01952859,0.00102281],"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":[0.00002134567,0.000005843913,0.001009278,0.0001571012,0.00001670903,0.000006659424,0.00001299999,0.00009958039,0.000008168937,0.0002210078,0.9973067,0.001134658],"study_design_scores_gemma":[0.0001547912,0.00001367839,0.02468841,0.0006567636,0.00005241832,0.00002908917,0.0004070936,0.0006253509,0.0001937876,0.000524223,0.9725742,0.00008024406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005351789,0.00002966708,0.00001480875,0.00005757951,0.00001531823,0.000006599178,0.9992628,0.00004744114,0.0005123568],"genre_scores_gemma":[0.0004488511,0.0001218546,0.0001622884,0.00005801445,0.00000965519,0.00004213258,0.9969383,0.00005948739,0.002159252],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07195222,"threshold_uncertainty_score":0.2407042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03291062854877776,"score_gpt":0.2483176519073317,"score_spread":0.2154070233585539,"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."}}