{"id":"W6901675056","doi":"10.6068/dp14ba859940d65","title":"Trend 1986 - 1996. 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 basis, Cotton, imports, Paasche current weighted | Units: 1986=100, 1986-1996. 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; Payment; Balance (ability); Publication; Balance of trade; Price index; 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":[],"consensus_categories":[],"category_scores_codex":[0.001823475,0.002369389,0.00227808,0.009128242,0.003371929,0.004793547,0.004407014,0.001264878,0.1050538],"category_scores_gemma":[0.01444132,0.001661823,0.001681805,0.04393696,0.0006234394,0.002608988,0.002017059,0.002856181,0.06896539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04679583,"about_ca_system_score_gemma":0.1217605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930669,"about_ca_topic_score_gemma":0.990633,"domain_scores_codex":[0.9960099,0.0002061791,0.0003841232,0.0004987145,0.001990997,0.0009100056],"domain_scores_gemma":[0.9701307,0.00084542,0.0009370776,0.0008544867,0.02599218,0.001240158],"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":[0.00002194722,0.0000065175,0.0009469239,0.0002108759,0.00001572085,0.000007519288,0.00002110341,0.0001058507,0.00001044984,0.0004407823,0.9964562,0.001756014],"study_design_scores_gemma":[0.00008940402,0.000009084896,0.01966991,0.0006134794,0.00004264477,0.00002210998,0.0003761281,0.0003124432,0.0001665693,0.0004910185,0.9781466,0.00006051987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005679737,0.0000426408,0.00002319767,0.00009002892,0.000024173,0.00001317647,0.9983949,0.00005481844,0.001300185],"genre_scores_gemma":[0.0007473901,0.0002780313,0.0003557321,0.0001086948,0.00001420708,0.00009639031,0.9920229,0.0001086732,0.006268028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1050538,"threshold_uncertainty_score":0.3514399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984597106471149,"score_gpt":0.2600959941450605,"score_spread":0.240250023080349,"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."}}