{"id":"W6957752838","doi":"10.6068/dp14ba8d4d90167","title":"Trend 1986 - 1996. Statistics Canada. CANSIM: Prices and Price Indexes - International Merchandise Trade Price Indexes | Country: Canada | Table: Merchandise imports and exports balance of payments and customs-based price and volume indexes for all countries | Variable: Balance of payments basis, Other paper and paperboard, exports, Paasche current weighted | Units: 1986=100, 1986-1996. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-171.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Price index; Balance of payments; Official statistics; Economic statistics; Consumer price index (South Africa); Payment; Balance of trade; Balance (ability); Publication; Price level","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":[0.001768946,0.002392886,0.00232239,0.008626136,0.003184991,0.004735167,0.004551056,0.001385322,0.09370092],"category_scores_gemma":[0.01576429,0.001657907,0.001705763,0.04149405,0.0006152915,0.002465349,0.002025906,0.00291641,0.07470124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04511343,"about_ca_system_score_gemma":0.106153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921876,"about_ca_topic_score_gemma":0.9902297,"domain_scores_codex":[0.9958929,0.0002175537,0.0004088892,0.0005218015,0.002061748,0.0008970192],"domain_scores_gemma":[0.9706734,0.0009047139,0.0009479715,0.0009304276,0.02535701,0.001186507],"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":[0.00002015334,0.000005593186,0.0008066564,0.0001712252,0.0000137751,0.000006450556,0.00001608269,0.0000954397,0.00000905358,0.0003579973,0.9969494,0.001548234],"study_design_scores_gemma":[0.00009339464,0.000008667774,0.01855363,0.0005648736,0.00004389019,0.0000216096,0.0003285063,0.0003507943,0.0001757328,0.0005271951,0.9792662,0.00006561177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004890919,0.00004138777,0.00002296951,0.00008743085,0.00002328433,0.00001097934,0.9986833,0.00005310976,0.001028731],"genre_scores_gemma":[0.000646599,0.0002327579,0.0003123235,0.00009621502,0.00001493544,0.00007855343,0.9936339,0.00009210491,0.00489256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09370092,"threshold_uncertainty_score":0.3273224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874758769896144,"score_gpt":0.2543595002634695,"score_spread":0.2356119125645081,"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."}}