{"id":"W6976292764","doi":"10.6068/dp14ba86853a145","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: Operating profit, General merchandise stores, Non-chain 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; Retail industry; Financial 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":[0.00139801,0.002624138,0.00251935,0.008452933,0.002290315,0.004695619,0.005134184,0.001308169,0.07624615],"category_scores_gemma":[0.01250501,0.00151436,0.001806603,0.04139117,0.0005647151,0.002568838,0.00198019,0.0027645,0.07673807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02813069,"about_ca_system_score_gemma":0.06720518,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9858014,"about_ca_topic_score_gemma":0.9834968,"domain_scores_codex":[0.9967886,0.0001659439,0.0003103851,0.0004851086,0.001468965,0.000781018],"domain_scores_gemma":[0.9761997,0.0008195958,0.0008919698,0.000781672,0.02025463,0.001052373],"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":[0.00002019017,0.000005630763,0.0009682436,0.0001561988,0.00001525181,0.000006175296,0.00001221734,0.00009488701,0.00000755543,0.0002044987,0.9974393,0.001069772],"study_design_scores_gemma":[0.0001665624,0.00001369098,0.02646516,0.0007153863,0.0000526756,0.0000283448,0.0004040778,0.0006156092,0.0001928889,0.0005469647,0.9707192,0.00007954356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005002059,0.00002612277,0.00001293341,0.00005437364,0.00001468309,0.000006815499,0.9992836,0.00004411364,0.000507298],"genre_scores_gemma":[0.0004030595,0.000107502,0.0001389735,0.00005274883,0.00000927069,0.0000422177,0.9972676,0.0000536673,0.001924945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07624615,"threshold_uncertainty_score":0.2550688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811371219514694,"score_gpt":0.2549194684134717,"score_spread":0.2168057562183248,"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."}}