{"id":"W6945536826","doi":"10.25318/1210017101-fra","title":"Commerce international de marchandises du Canada par pays et par section de produits sur une base douanière, annuel","year":2024,"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; Section (typography); Context (archaeology); Rail transportation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001480565,0.001202518,0.0008009904,0.0005340279,0.0006334975,0.0006191818,0.001038541,0.0004403273,0.0006959821],"category_scores_gemma":[0.005892313,0.001480337,0.00008877877,0.001267841,0.0002820939,0.000448837,0.0003392786,0.001622685,0.0001579486],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01908691,"about_ca_system_score_gemma":0.02149764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953106,"about_ca_topic_score_gemma":0.9999193,"domain_scores_codex":[0.9921266,0.0009150567,0.001355562,0.001398873,0.0027374,0.001466441],"domain_scores_gemma":[0.9931072,0.002152111,0.0009879001,0.0008567782,0.001949065,0.0009469255],"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":[0.000196043,0.0003047711,0.00238005,0.002027323,0.0005409009,0.0034191,0.0004448037,0.001347368,0.0003037993,0.002557577,0.9836169,0.002861294],"study_design_scores_gemma":[0.0005980325,0.0001102912,0.06853102,0.001359581,0.0009181421,0.000448286,0.0006478167,0.01277049,0.0004085176,0.000550745,0.9122106,0.001446446],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002652957,0.0005505358,0.00311091,0.00582989,0.00793745,0.001047391,0.9786085,0.00008512068,0.0001772141],"genre_scores_gemma":[0.04374076,0.0009231956,0.001457142,0.0008192135,0.001207843,0.0003284825,0.9492106,0.0003590894,0.001953624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07140634,"threshold_uncertainty_score":0.9987646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007875202790728626,"score_gpt":0.2601408250578928,"score_spread":0.2522656222671641,"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."}}