{"id":"W6907610175","doi":"10.25318/2010000301-eng","title":"Wholesale sales, price and volume, by industry, seasonally adjusted","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seasonality; Forecast period; Economic forecasting; Seasonal adjustment","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":[0.0007327446,0.001738656,0.001302498,0.005844063,0.001068835,0.002612828,0.002512018,0.001119501,0.05888563],"category_scores_gemma":[0.007283597,0.0008452837,0.001008108,0.01899507,0.0004191669,0.00135585,0.001071319,0.001952075,0.05087458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006600463,"about_ca_system_score_gemma":0.01370193,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7901947,"about_ca_topic_score_gemma":0.8342082,"domain_scores_codex":[0.9987238,0.00006532553,0.0001507024,0.0002734211,0.0004810975,0.000305594],"domain_scores_gemma":[0.9943013,0.0004847986,0.0006175372,0.0004430835,0.003775963,0.0003772959],"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":[0.00002199142,0.000006684751,0.0009747487,0.0001608622,0.00001404974,0.000007155547,0.000007138705,0.0001103326,0.0000163098,0.0002828804,0.9976228,0.0007750754],"study_design_scores_gemma":[0.0001816945,0.00001101269,0.02324063,0.0003508725,0.00003842525,0.00003923585,0.000114005,0.0005014124,0.0001991601,0.0005545482,0.9747264,0.00004251556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006372937,0.00001940079,0.00001202203,0.0000270376,0.000008764022,0.000003786321,0.9994469,0.00003126779,0.0003870297],"genre_scores_gemma":[0.0004112002,0.00005113122,0.00008785222,0.00002688741,0.000006210409,0.00002368103,0.9980496,0.00002345709,0.001319997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2098053,"threshold_uncertainty_score":0.4220818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008790358144127583,"score_gpt":0.2542871952767947,"score_spread":0.2454968371326671,"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."}}