{"id":"W6888949354","doi":"10.25318/2310000701-eng","title":"Itinerant movements, by aircraft maximum take-off weight, for airports with NAV CANADA towers, monthly, inactive","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Work (physics); Ranging; Aviation; Nowcasting","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":[0.0004981423,0.002051834,0.001302505,0.003434263,0.0008405581,0.001838743,0.002248336,0.001634472,0.0529823],"category_scores_gemma":[0.006389344,0.0007153391,0.001369249,0.01009313,0.0003810752,0.001416,0.001249308,0.001716838,0.05166947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003423415,"about_ca_system_score_gemma":0.00623122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5666361,"about_ca_topic_score_gemma":0.6928326,"domain_scores_codex":[0.9992474,0.00006072763,0.0001108689,0.0002122099,0.0001922257,0.0001764605],"domain_scores_gemma":[0.997338,0.000425251,0.000288529,0.0002997667,0.001396875,0.0002516189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003422209,0.000007997876,0.001258961,0.0002773583,0.00001995769,0.000009843093,0.000009675954,0.0001301498,0.00002394171,0.0001766447,0.9971425,0.0009087924],"study_design_scores_gemma":[0.0003441063,0.00001882933,0.03073513,0.0007151956,0.00006534522,0.00008092608,0.0001998622,0.0007800861,0.0002066399,0.0008394741,0.9659489,0.00006534639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006646181,0.00002946557,0.0000111652,0.0000319179,0.00001319188,0.000002560063,0.9995358,0.00004071467,0.0002687881],"genre_scores_gemma":[0.0003940899,0.00005973756,0.00007310032,0.00003427084,0.00000659569,0.00002324878,0.9986659,0.00002153189,0.0007214303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4333639,"threshold_uncertainty_score":0.8718321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004748434965754434,"score_gpt":0.2305407850537889,"score_spread":0.2257923500880345,"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."}}