{"id":"W6976713280","doi":"10.6068/dp14ba896a93982","title":"Trend 1992 - 2000. Statistics Canada. CANSIM: International Trade - Merchandise Imports | Country: Canada | Table: Merchandise imports and exports balance of payments and customs-based price and volume indexes for all countries | Variable: Balance of payments, Organic chemicals, imports, Price index, Paasche current weighted | Units: 1992=100, 1992-2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-131.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balance of payments; Official statistics; Economic statistics; Census; Balance (ability); Price index; Balance of trade; International comparisons; Payment; Summary statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001680803,0.002386168,0.002227891,0.00835583,0.003012501,0.00476329,0.0043295,0.001330333,0.1010944],"category_scores_gemma":[0.01469225,0.001479455,0.001776973,0.03907507,0.00059211,0.002486483,0.002052364,0.002779999,0.0670869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03951791,"about_ca_system_score_gemma":0.09976447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910085,"about_ca_topic_score_gemma":0.9886464,"domain_scores_codex":[0.9967602,0.0001900479,0.0003267094,0.0004716475,0.001472758,0.0007785845],"domain_scores_gemma":[0.9751428,0.0008600758,0.0008311116,0.0007971131,0.02125791,0.001110942],"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":[0.00001903754,0.000004774023,0.0007855656,0.0002078886,0.00001563317,0.000006439834,0.0000160316,0.00008937982,0.000008540072,0.0003557681,0.9970775,0.001413398],"study_design_scores_gemma":[0.0001058252,0.000008610155,0.01600632,0.0006897735,0.0000477453,0.0000233943,0.0003353353,0.0003650232,0.0001469043,0.000589158,0.9816192,0.00006262837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004581407,0.00003990221,0.00001878399,0.00008353789,0.00002078887,0.000009736247,0.9987962,0.00005161435,0.0009335493],"genre_scores_gemma":[0.0005856351,0.000214451,0.0002854645,0.0001107098,0.00001196038,0.00007844608,0.9949642,0.00009077265,0.003658274],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8989056,"threshold_uncertainty_score":0.3381947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626026312289956,"score_gpt":0.2494840977014388,"score_spread":0.2332238345785393,"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."}}