{"id":"W6957843132","doi":"10.6068/dp14ba7bbb72e11","title":"Trend 1990 - 2001. Statistics Canada. CANSIM: International Trade - Service Imports | Country: Canada | Table: International transactions in services, commercial services by industry | Variable: Payments, Advertising and related services (x 1,000,000), Energy and metallic minerals | Units: $CAD, 1990-2001. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-133.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Goods and services; Service (business); International comparisons; Census; Summary statistics; National accounts","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":[0.001860168,0.002519383,0.002667945,0.008916384,0.00337982,0.005120937,0.004923569,0.001488678,0.09404936],"category_scores_gemma":[0.01598714,0.001733571,0.002011335,0.04344028,0.0006213558,0.002684972,0.002178008,0.003121188,0.06162806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04699043,"about_ca_system_score_gemma":0.1240166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937568,"about_ca_topic_score_gemma":0.9915907,"domain_scores_codex":[0.9960336,0.0002232937,0.0004070466,0.0005334851,0.001866783,0.0009358135],"domain_scores_gemma":[0.9694826,0.0009771173,0.0009644446,0.0008994157,0.02627239,0.001404076],"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":[0.00002320515,0.000006015552,0.0009090561,0.0002238266,0.00001863816,0.000006919144,0.00001762426,0.00009793053,0.000007721713,0.0003314591,0.9968879,0.001469757],"study_design_scores_gemma":[0.0001414635,0.0000117245,0.0212236,0.0008418399,0.00006614684,0.00002755636,0.0004203882,0.0004502395,0.0001639184,0.00057642,0.975999,0.00007767617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004957086,0.00004812584,0.00001822626,0.0001002199,0.00002448939,0.00001055496,0.9988478,0.00005101337,0.0008499938],"genre_scores_gemma":[0.0006880577,0.0002686957,0.0002812055,0.0001248493,0.00001551531,0.00008480572,0.9946238,0.00009920601,0.003813849],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09404936,"threshold_uncertainty_score":0.340941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741986376892016,"score_gpt":0.2447713192614208,"score_spread":0.2273514554925007,"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."}}