{"id":"W6964519719","doi":"10.25318/2310003701-fra","title":"Trafic des tarifs réduits, selon le secteur, 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":"Context (archaeology); Pretext; Coalition government","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":[0.0006942496,0.001652044,0.001082337,0.005194944,0.0007193386,0.002124561,0.001775394,0.001288092,0.03275561],"category_scores_gemma":[0.006924741,0.0005414361,0.001074789,0.01119781,0.000327289,0.001027411,0.000934528,0.001750682,0.02967295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005707528,"about_ca_system_score_gemma":0.008691251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7047763,"about_ca_topic_score_gemma":0.7251939,"domain_scores_codex":[0.9989957,0.00008468668,0.000101034,0.0002327253,0.0003331951,0.0002526255],"domain_scores_gemma":[0.9968483,0.0005932976,0.0003854013,0.0002921217,0.001592932,0.0002879064],"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":[0.00004044998,0.00000719074,0.002074439,0.0002437002,0.00002315685,0.00001388099,0.00002025092,0.0003535208,0.0000413479,0.0003295541,0.9954687,0.001383777],"study_design_scores_gemma":[0.0002787332,0.00001926475,0.04496156,0.0006290509,0.0000582584,0.00009708942,0.0003356452,0.001703522,0.0003577129,0.0008670168,0.9506331,0.00005909587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000208953,0.00006194785,0.00001988521,0.00005593549,0.00001178103,0.000003528391,0.9990562,0.00009924333,0.0004825833],"genre_scores_gemma":[0.001122099,0.00009624611,0.0001054509,0.00004030989,0.000008527391,0.00002418101,0.9971231,0.0000467101,0.001433452],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2952237,"threshold_uncertainty_score":0.5939246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214128548025218,"score_gpt":0.2599705167443365,"score_spread":0.2478292312640843,"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."}}