{"id":"W6945318590","doi":"10.25318/1210005501-fra","title":"Importations et exportations de marchandises par secteur et sous-secteur, sur base douanière et sur base de la balance des paiements, pour tous les pays, 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; Context (archaeology); Balance (ability); Limiting","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":[0.0005256572,0.001361728,0.001137434,0.006526604,0.000933702,0.002054155,0.001304177,0.000727322,0.02470315],"category_scores_gemma":[0.00457669,0.0005625621,0.001035865,0.01522104,0.0004460349,0.0009677611,0.0008460137,0.001403207,0.01825048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006036952,"about_ca_system_score_gemma":0.01056597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.765317,"about_ca_topic_score_gemma":0.8349552,"domain_scores_codex":[0.9991308,0.00006529963,0.00009742932,0.0002327898,0.000296182,0.0001775319],"domain_scores_gemma":[0.9973583,0.0004392864,0.0002579294,0.0002608399,0.001526738,0.0001570214],"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":[0.00007534761,0.00001310947,0.007307024,0.0007347882,0.00007013345,0.00003660339,0.00005880167,0.0005124171,0.000138036,0.0008907883,0.9853085,0.004854329],"study_design_scores_gemma":[0.00007927718,0.000007475185,0.03988088,0.0003728678,0.00004396981,0.00006599184,0.0002589101,0.0003737049,0.0003227775,0.000444484,0.9581131,0.0000365583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003887957,0.0001288417,0.00003066752,0.00005351745,0.00001577168,0.000004262052,0.9982687,0.00006894523,0.001040311],"genre_scores_gemma":[0.001545539,0.0002605464,0.0001865589,0.00003205443,0.000008473781,0.00002164029,0.9959721,0.00003272439,0.0019404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.234683,"threshold_uncertainty_score":0.4721301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589309436170789,"score_gpt":0.2915936422752109,"score_spread":0.275700547913503,"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."}}