{"id":"W6945245784","doi":"10.25318/2310007901-eng","title":"Operating and financial statistics for major Canadian airlines, monthly","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":"Descriptive statistics; Statistical analysis; Data collection; Financial 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":[0.0009055716,0.002205559,0.001264019,0.01099774,0.00178599,0.002823021,0.002607726,0.001075795,0.05486922],"category_scores_gemma":[0.01001396,0.0008964398,0.001241204,0.0364472,0.0004063199,0.001354618,0.00111933,0.001983303,0.03199462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02301848,"about_ca_system_score_gemma":0.05040007,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9862982,"about_ca_topic_score_gemma":0.9876436,"domain_scores_codex":[0.9977319,0.00007730754,0.000210124,0.0003116186,0.00115606,0.0005128412],"domain_scores_gemma":[0.9890054,0.0005772223,0.0006721356,0.0004244513,0.008728553,0.0005923136],"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":[0.00001462079,0.000007279859,0.001308964,0.0002218147,0.00001593921,0.000009390949,0.00001599799,0.000239291,0.00001302508,0.0003799186,0.9961437,0.001629985],"study_design_scores_gemma":[0.0001041753,0.000009780981,0.04744541,0.0004159312,0.00005039028,0.00003228597,0.0002153255,0.000774317,0.0001879588,0.0004659648,0.950238,0.00006049233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00010655,0.00005218494,0.00001835382,0.00005067773,0.00001064461,0.000007086401,0.998728,0.00004863165,0.0009779037],"genre_scores_gemma":[0.001078068,0.000193322,0.0001649141,0.00004597949,0.000008619087,0.00004089996,0.9954738,0.00003560638,0.002958764],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05486922,"threshold_uncertainty_score":0.1835558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008054642855749234,"score_gpt":0.2633754856834667,"score_spread":0.2553208428277175,"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."}}