{"id":"W6945250571","doi":"10.25318/3610000601-fra","title":"Transactions internationales de services, services commerciaux par catégorie, annuel","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Database transaction; Order (exchange); Service (business)","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":[0.001122139,0.001580349,0.001404605,0.01495248,0.001234745,0.004410344,0.001837401,0.001068826,0.05419056],"category_scores_gemma":[0.01553987,0.0007457813,0.001018401,0.03756542,0.0005799416,0.001910663,0.001502069,0.002015567,0.04272103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007421994,"about_ca_system_score_gemma":0.01616705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6176339,"about_ca_topic_score_gemma":0.6554488,"domain_scores_codex":[0.9971508,0.0001886947,0.0004828516,0.0005020311,0.001153215,0.0005223067],"domain_scores_gemma":[0.9899492,0.001835721,0.0008780744,0.0009845344,0.005736887,0.0006155494],"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":[0.0000500276,0.00001035901,0.002333099,0.0005836085,0.00002640942,0.00001852563,0.00005839812,0.0002859334,0.00009567272,0.001303156,0.9912243,0.004010545],"study_design_scores_gemma":[0.00004733187,0.000005275854,0.01250059,0.0003327576,0.00001982235,0.00004794976,0.000217677,0.0003120643,0.000255139,0.0007851321,0.9854457,0.00003049422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001792813,0.00009730134,0.00004631382,0.00005103769,0.00001607866,0.000008258279,0.9983438,0.00008609141,0.001171861],"genre_scores_gemma":[0.0007958803,0.0002173704,0.0002282914,0.00002760318,0.000009326566,0.00004542721,0.9967019,0.00005198747,0.001922159],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3823661,"threshold_uncertainty_score":0.7692358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008496642386897341,"score_gpt":0.2739659727813737,"score_spread":0.2654693303944764,"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."}}