{"id":"W6945882544","doi":"10.25318/1210000501-fra","title":"Commerce bilatéral de biens du Canada et des États-Unis, base douanière et de la balance des paiements, par devise et orientation du commerce, trimestriel","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":"Balance (ability); Limiting; Census; Context (archaeology)","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":[0.0009196159,0.001198718,0.001230822,0.008804057,0.001689186,0.003058746,0.002039125,0.0009600007,0.03025648],"category_scores_gemma":[0.008531298,0.000549075,0.0008608822,0.02170898,0.0005691818,0.001125228,0.001292908,0.001543658,0.01692777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01175108,"about_ca_system_score_gemma":0.0338114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9301093,"about_ca_topic_score_gemma":0.9639591,"domain_scores_codex":[0.9983956,0.0001196496,0.0001588928,0.0003018909,0.0006700388,0.0003538471],"domain_scores_gemma":[0.9933552,0.0007249418,0.0004830791,0.0005547105,0.004400828,0.0004812905],"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":[0.0000687901,0.00001670814,0.006580548,0.0004871571,0.0000476471,0.00003346138,0.0001076914,0.0003329438,0.00007751292,0.001629577,0.9856042,0.005013697],"study_design_scores_gemma":[0.00007293621,0.000006421958,0.04271324,0.0004396676,0.00004119116,0.00005522594,0.0004283699,0.0004451134,0.0002883869,0.0008941689,0.9545665,0.00004899125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005109003,0.0001266366,0.00005789211,0.00008033853,0.00001679794,0.000008998325,0.9972944,0.00007597302,0.001827986],"genre_scores_gemma":[0.001824201,0.0001988329,0.0003203581,0.00003534921,0.000008186147,0.00004479084,0.9947695,0.00003766418,0.002761126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06989074,"threshold_uncertainty_score":0.1406046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01271837293387885,"score_gpt":0.2970091727295647,"score_spread":0.2842907997956859,"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."}}