{"id":"W6945478975","doi":"10.25318/2310022101-fra","title":"Recettes de passagers et recettes de marchandises sur l'aviation civile, selon le secteur, selon la province et le territoire, transporteurs aériens canadiens, niveaux I à III, 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":"Occlusive arterial disease; Poison control; Statistical analysis","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":[0.0008108025,0.00125345,0.001179901,0.006392459,0.0008592412,0.00214024,0.001513087,0.001085105,0.0297254],"category_scores_gemma":[0.00873137,0.0005615992,0.00107865,0.01529652,0.000407639,0.001589178,0.001142186,0.001659343,0.03005388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003532842,"about_ca_system_score_gemma":0.006125114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.477629,"about_ca_topic_score_gemma":0.5735915,"domain_scores_codex":[0.9985958,0.0001464394,0.0001999498,0.000382001,0.0004455673,0.0002302497],"domain_scores_gemma":[0.9960254,0.0008803495,0.0004800821,0.0004079663,0.001978272,0.0002278898],"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":[0.00006901141,0.0000116981,0.005836213,0.0006915936,0.00004861829,0.00002827214,0.00007069752,0.0005150655,0.00007552717,0.0008509381,0.9871799,0.004622476],"study_design_scores_gemma":[0.0000746156,0.000009884569,0.03561723,0.0005400599,0.0000406437,0.00006747215,0.000353022,0.0004901268,0.000258051,0.0008548971,0.9616462,0.00004799148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004023176,0.0001760513,0.00005358063,0.00007974869,0.00002585229,0.000004354797,0.9981003,0.00007910228,0.001078703],"genre_scores_gemma":[0.00178195,0.0002975546,0.0002367618,0.00004512016,0.00001564269,0.00003125131,0.9949804,0.00004583232,0.002565495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.522371,"threshold_uncertainty_score":0.9496978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007289723073946514,"score_gpt":0.2428300094117249,"score_spread":0.2355402863377784,"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."}}