{"id":"W6963951761","doi":"10.25318/2310000401-fra","title":"Mouvements itinérants, par type d'exploitation, dans les aéroports dotés d'une tour de contrôle de NAV CANADA, mensuel, inactif","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":"Identification (biology); Perspective (graphical); 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":[0.0006862558,0.001485645,0.001240488,0.00430879,0.001062194,0.002108534,0.00221313,0.001428034,0.0354051],"category_scores_gemma":[0.008112418,0.0006634485,0.00126883,0.01150486,0.0003896789,0.001032118,0.001282209,0.00191837,0.02247553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005696714,"about_ca_system_score_gemma":0.01285257,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8473995,"about_ca_topic_score_gemma":0.9052119,"domain_scores_codex":[0.9990721,0.00007416461,0.0001257893,0.0002261663,0.0002609768,0.0002408894],"domain_scores_gemma":[0.9956893,0.0007798331,0.0005183646,0.0004014778,0.002137584,0.0004733733],"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":[0.00007459621,0.00001381438,0.005483099,0.0004735841,0.00004293692,0.00001946177,0.00004557522,0.0003187454,0.00004505255,0.0004118408,0.9911029,0.001968429],"study_design_scores_gemma":[0.0004220961,0.00002430293,0.08765535,0.000853535,0.0001052663,0.00008703952,0.0004863648,0.001205039,0.0002959757,0.0009069073,0.9078758,0.00008234608],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002571488,0.00005546059,0.00001640297,0.00004932805,0.00001250863,0.000004023841,0.9991996,0.00004582243,0.000359707],"genre_scores_gemma":[0.001355563,0.000114262,0.0001352244,0.00004067928,0.000008563668,0.00003994161,0.9966031,0.00002957274,0.001673057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1526005,"threshold_uncertainty_score":0.3069983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139968819324271,"score_gpt":0.2722654214879739,"score_spread":0.2608657332947312,"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."}}