{"id":"W6957570962","doi":"10.6068/dp14ba8e9cd6674","title":"Trend 1997 - 2006. 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, Imports, Major group 4.9 Precious metals, including alloys, Laspeyres fixed weighted | Units: 1997=100, 1997-2006. 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); Balance of trade; Balance (ability); Price level; Payment; Census","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":[0.001563973,0.002293858,0.002311566,0.007690041,0.002840673,0.004639952,0.004472849,0.001432922,0.09029812],"category_scores_gemma":[0.01490671,0.001529343,0.001755187,0.03793496,0.0006052995,0.002316755,0.001984335,0.002849721,0.06829771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03923744,"about_ca_system_score_gemma":0.09540354,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905903,"about_ca_topic_score_gemma":0.9891531,"domain_scores_codex":[0.9964929,0.0001980516,0.0003567257,0.0004755865,0.00170124,0.0007755141],"domain_scores_gemma":[0.9722893,0.0009608347,0.0009126145,0.0008816896,0.02388251,0.001073008],"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":[0.00001858254,0.000005163615,0.0007849709,0.000165478,0.00001414099,0.000005960199,0.00001336413,0.00008951233,0.000007783402,0.0003255282,0.99725,0.001319472],"study_design_scores_gemma":[0.0001032373,0.000008977777,0.01718166,0.0006138104,0.00004655419,0.00002320717,0.0003286963,0.000411475,0.0001710479,0.0006185626,0.9804245,0.00006833527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004426467,0.00003785765,0.00001941388,0.00008341508,0.00002135333,0.000009328384,0.9989119,0.00004756159,0.0008249565],"genre_scores_gemma":[0.0005800717,0.0001997061,0.0002686814,0.0001013674,0.00001414815,0.00007086767,0.9951015,0.00007910339,0.003584543],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09029812,"threshold_uncertainty_score":0.3020773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970691628875424,"score_gpt":0.2534152408258413,"score_spread":0.233708324537087,"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."}}