{"id":"W6907707295","doi":"10.25318/1210003701-eng","title":"Merchandise imports and exports customs-based price indexes, by Standard International Trade Classification (SITC revision 1) price indexes and by Bank of Canada groupings, for all countries and United States, monthly","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":"Commodity; Table (database); Weighting; Terms of trade; Price index","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":[0.0006329311,0.001443111,0.001185035,0.006000222,0.0009536407,0.002636394,0.002073384,0.0008021783,0.05891855],"category_scores_gemma":[0.006455811,0.0007308233,0.0008399564,0.01951662,0.0003603454,0.001112008,0.001048461,0.001692908,0.06489937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006863456,"about_ca_system_score_gemma":0.01108896,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7058652,"about_ca_topic_score_gemma":0.735356,"domain_scores_codex":[0.9987696,0.00006737188,0.0001387669,0.000244357,0.0005115008,0.000268451],"domain_scores_gemma":[0.9952956,0.0004362352,0.0004817543,0.0004316972,0.003038161,0.0003166356],"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":[0.00001821238,0.000007365761,0.001224878,0.0001341061,0.00001083003,0.000008192359,0.00001136748,0.0001403746,0.0000187062,0.000417843,0.9968676,0.001140458],"study_design_scores_gemma":[0.000116228,0.000008026934,0.02246162,0.0002902628,0.00002492784,0.00003261495,0.0001400404,0.0004614112,0.0002099166,0.0005088163,0.9757161,0.00003006745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008858759,0.00001900261,0.00001565174,0.00002370404,0.000006614052,0.000004161743,0.9992654,0.00003746698,0.0005394301],"genre_scores_gemma":[0.0004247284,0.00005542824,0.00009633954,0.00001646383,0.000004715616,0.00002571669,0.9979483,0.00002499552,0.001403228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2941348,"threshold_uncertainty_score":0.5917341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007319945168295109,"score_gpt":0.2566559411350908,"score_spread":0.2493359959667957,"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."}}