{"id":"W2062335958","doi":"10.1016/j.jairtraman.2005.03.002","title":"Regulation, competition and network evolution in aviation","year":2005,"lang":"en","type":"article","venue":"Journal of Air Transport Management","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Wilfrid Laurier University","keywords":"Deregulation; Aviation; Competition (biology); Business model; Context (archaeology); Industrial organization; Market structure; Business; Economics; Market economy; Marketing; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001166615,0.00007920335,0.0002314934,0.0005708943,0.0004874142,0.001847483,0.0004506226,0.001219807,0.004446281],"category_scores_gemma":[0.00759449,0.000145451,0.0002362353,0.001054793,0.001261574,0.001831827,0.0003475712,0.0006047097,0.0002854455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017203,"about_ca_system_score_gemma":0.0006538013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0286275,"about_ca_topic_score_gemma":0.03537901,"domain_scores_codex":[0.9997441,0.0001008615,0.00001432266,0.00005131176,0.00003407496,0.00005533756],"domain_scores_gemma":[0.9926665,0.004521258,0.001685642,0.00021399,0.0004563825,0.0004560981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000693919,0.0005180216,0.4669241,0.0001592333,0.0002399899,0.0004472798,0.002122166,0.1524555,0.005960024,0.3061624,0.009550173,0.05476726],"study_design_scores_gemma":[0.0001255979,0.0001933436,0.5063213,0.00006713175,0.0001648584,0.000336914,0.003806442,0.2625003,0.001050929,0.2093796,0.01597614,0.00007750419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841839,0.0009138329,0.004833634,0.001963038,0.00002144764,0.000008622144,0.0001905611,0.00002689192,0.007858155],"genre_scores_gemma":[0.9983321,0.0002151122,0.000257572,0.00004553984,0.00001588587,0.000003415009,0.00004298246,0.000002923403,0.001084603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0286275,"threshold_uncertainty_score":0.05692178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01134759450053447,"score_gpt":0.1955085962557093,"score_spread":0.1841610017551749,"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."}}