{"id":"W261107079","doi":"","title":"THE CONTRIBUTION OF COMMERCIAL AVIATION TO THE ECONOMY OF MANITOBA: AN ECONOMIC IMPACT ASSESSMENT","year":2003,"lang":"en","type":"article","venue":"","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aviation; Wright; Destinations; Aviation engineering; International airport; Tourism; Commercial aviation; Air transport; Economic impact analysis; Mode (computer interface); Economy; Aeronautics; Business; Regional science; Engineering; Geography; Civil aviation; Transport engineering; Economics; Computer science; Civil engineering","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":[0.0003643312,0.000474793,0.0002318208,0.004447915,0.0007866702,0.001982104,0.0005828228,0.0002766752,0.001962409],"category_scores_gemma":[0.001136029,0.0002100641,0.0003954977,0.009289689,0.0006696488,0.0004062109,0.001135692,0.000454601,0.0001616028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02031755,"about_ca_system_score_gemma":0.0127049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8466764,"about_ca_topic_score_gemma":0.9304967,"domain_scores_codex":[0.9996501,0.00005764931,0.00001005817,0.00002273104,0.0001336599,0.0001257466],"domain_scores_gemma":[0.999471,0.00008529414,0.00007288759,0.00001343171,0.000269756,0.00008764872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003031799,0.0001973793,0.8745065,0.0006064023,0.0005811519,0.002806691,0.002124639,0.02831563,0.004916362,0.01944314,0.003146152,0.06305274],"study_design_scores_gemma":[0.00002264794,0.000144772,0.9596702,0.0001799505,0.0001988319,0.0002392755,0.005252629,0.01048775,0.001553225,0.00166385,0.02055097,0.00003582744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680545,0.003525006,0.0007624634,0.0009024614,0.00002140511,0.0001062687,0.003077056,0.00001428887,0.02353647],"genre_scores_gemma":[0.985797,0.006458824,0.0009137511,0.00008402603,0.00001962808,0.00004474376,0.001251639,0.000006698407,0.005423679],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1533236,"threshold_uncertainty_score":0.308453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034610907173668,"score_gpt":0.2873608123627966,"score_spread":0.25701470329106,"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."}}