{"id":"W6907575104","doi":"10.25318/1010003101-fra","title":"Importations et exportations de boissons alcoolisées, selon la valeur et le volume pour les pays sélectionnés, exercices financiers se terminant le 31 mars","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":"Value (mathematics); Volume (thermodynamics); Context (archaeology); Order (exchange)","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":[0.0006140329,0.0009817689,0.0009853458,0.007091149,0.0005996893,0.002212626,0.001028865,0.000560734,0.03010746],"category_scores_gemma":[0.0065942,0.0004734272,0.001010142,0.0187598,0.0003345464,0.001048569,0.0008082296,0.001264253,0.01593187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004810955,"about_ca_system_score_gemma":0.007723739,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6853366,"about_ca_topic_score_gemma":0.7234343,"domain_scores_codex":[0.9989792,0.00008545779,0.0001458023,0.0002045749,0.0003881416,0.0001969698],"domain_scores_gemma":[0.9967115,0.0006594337,0.0004752355,0.0002492171,0.001712764,0.0001918044],"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":[0.0001160947,0.00001744507,0.01909633,0.0009396203,0.00009772439,0.00003905493,0.0001183083,0.0006352662,0.0001023294,0.001907462,0.9678293,0.009101248],"study_design_scores_gemma":[0.00009521774,0.000012969,0.08855052,0.0006417778,0.00006905452,0.00008387861,0.0004902629,0.0004839953,0.0003712121,0.0007076779,0.9084443,0.00004898838],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009885581,0.0002479956,0.00005042148,0.0000849594,0.00002016112,0.000007028764,0.9965116,0.00007931671,0.002009954],"genre_scores_gemma":[0.004892774,0.0007489579,0.0003328584,0.00006312704,0.00002010541,0.00005293635,0.9888986,0.00006262735,0.004927997],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3146634,"threshold_uncertainty_score":0.6330329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01390010616890837,"score_gpt":0.2934136676270963,"score_spread":0.279513561458188,"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."}}