{"id":"W6944906002","doi":"10.25318/2310001501-fra","title":"Mouvements itinérants intérieurs et internationaux, par type d'exploitation, dans les aéroports dotés d'une station d'information de vol 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":"Spectral analysis; Context (archaeology); Exploratory 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":[0.0009146612,0.001845759,0.001494807,0.005279906,0.001256687,0.002630381,0.002466067,0.001569557,0.03943091],"category_scores_gemma":[0.01072383,0.0008162367,0.001316081,0.01505828,0.0004989093,0.001229411,0.001432334,0.00221458,0.03311436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009888399,"about_ca_system_score_gemma":0.02314854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.884404,"about_ca_topic_score_gemma":0.9261934,"domain_scores_codex":[0.9985354,0.000111459,0.0001824942,0.0003418154,0.0004791867,0.0003495829],"domain_scores_gemma":[0.9933345,0.001054858,0.0005772883,0.0006219457,0.00382571,0.0005856075],"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":[0.00004159998,0.000007334874,0.001894225,0.000364557,0.00002497028,0.00001026739,0.0000227511,0.0002315113,0.00003288495,0.0003667838,0.9956665,0.001336589],"study_design_scores_gemma":[0.0002198697,0.00001100454,0.02935939,0.0005629563,0.00005321076,0.00003678255,0.0001957155,0.0005405904,0.0002336469,0.0006862484,0.9680494,0.00005115545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008767559,0.00004550411,0.000016949,0.00004495446,0.00001213172,0.000004018074,0.999338,0.00005333879,0.0003973988],"genre_scores_gemma":[0.0006833614,0.0001194758,0.0001446353,0.0000442108,0.00000845771,0.00003882674,0.9971938,0.00004057235,0.001726618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.115596,"threshold_uncertainty_score":0.2325535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113032930953655,"score_gpt":0.2826200704522746,"score_spread":0.271489741142738,"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."}}