{"id":"W6945231094","doi":"10.25318/2310002401-fra","title":"Mouvements itinérants intérieurs et internationaux, par type d'exploitation, dans les aéroports dotés d'une tour de contrôle de NAV CANADA, 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":"Context (archaeology); Identification (biology); Period (music)","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":[0.0007747163,0.001403558,0.001192321,0.004529402,0.00118673,0.002273145,0.002060773,0.001318917,0.03383666],"category_scores_gemma":[0.008426585,0.0006766423,0.001106791,0.01157352,0.0003802873,0.001040561,0.001233938,0.001819434,0.02603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00724307,"about_ca_system_score_gemma":0.01544185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8485933,"about_ca_topic_score_gemma":0.9031519,"domain_scores_codex":[0.9988014,0.00009360025,0.0001347684,0.0003075943,0.0003789903,0.000283695],"domain_scores_gemma":[0.9948373,0.0008534869,0.0004735329,0.0004788477,0.002872199,0.0004845655],"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":[0.00004940146,0.000009538217,0.003327511,0.0003028672,0.00002907005,0.00001323012,0.00002843664,0.0003275968,0.00004174638,0.0003962112,0.9937186,0.001755729],"study_design_scores_gemma":[0.0002469967,0.00001341556,0.04828572,0.0004667102,0.00005758994,0.00005227785,0.0002551288,0.0008868977,0.0002516416,0.0006796987,0.9487484,0.00005553873],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001876337,0.00005131507,0.00002246886,0.00005105256,0.00001299395,0.0000039996,0.9991358,0.00005675919,0.0004779029],"genre_scores_gemma":[0.001039078,0.0001051023,0.0001602557,0.00004328161,0.000008829763,0.00003355284,0.9967934,0.00003716484,0.001779279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1514067,"threshold_uncertainty_score":0.3045967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275390000027869,"score_gpt":0.2915377327246993,"score_spread":0.2787838327244206,"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."}}