{"id":"W6907613531","doi":"10.25318/1210006901-eng","title":"Merchandise imports and exports by sector, balance of payments basis, for all countries, seasonally adjusted, Fisher formula, quarterly","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":"Table (database); Balance of payments; Payment; Agriculture; Fishing; Balance (ability); Balance of trade; Revenue","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":[0.0004553489,0.001255556,0.0010514,0.005299803,0.0007782729,0.001951857,0.001321127,0.0007084119,0.04884529],"category_scores_gemma":[0.005381083,0.0005994085,0.0007025272,0.01719636,0.0002971686,0.001013054,0.0007449374,0.001333143,0.04074312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004475936,"about_ca_system_score_gemma":0.008046056,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6172691,"about_ca_topic_score_gemma":0.6197729,"domain_scores_codex":[0.9990503,0.00004782914,0.0001261645,0.0002101382,0.0003885667,0.0001769953],"domain_scores_gemma":[0.9959844,0.000385184,0.0005092531,0.0002904563,0.002600074,0.0002306172],"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":[0.00003863373,0.00001353218,0.003058632,0.0002670122,0.00002319971,0.00001565863,0.00001711672,0.0002845112,0.00004377566,0.000512296,0.9939225,0.001803083],"study_design_scores_gemma":[0.0001277361,0.00001434514,0.04185319,0.0003466615,0.00004262596,0.00004910506,0.0001795361,0.0004941933,0.0003186355,0.0004292071,0.9561073,0.00003752927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002416259,0.00003664335,0.00001906684,0.0000304051,0.00001165019,0.000004829802,0.998793,0.00003690275,0.0008258627],"genre_scores_gemma":[0.0009680307,0.000101528,0.0001065785,0.00002413753,0.000007245977,0.00002709798,0.9966467,0.00002395086,0.002094804],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6172691,"threshold_uncertainty_score":0.7699698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008986884903210115,"score_gpt":0.2561481521830909,"score_spread":0.2471612672798808,"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."}}