{"id":"W2152873544","doi":"10.1287/trsc.1060.0154","title":"Are Returns to Scale with Variable Network Size Adequate for Transport Industry Structure Analysis?","year":2006,"lang":"en","type":"article","venue":"Transportation Science","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia","keywords":"Variable (mathematics); Scale (ratio); Transport engineering; Network analysis; Returns to scale; Econometrics; Engineering; Computer science; Economics; Geography; Mathematics; Microeconomics; Production (economics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.005614616,0.0008843725,0.001390098,0.003252188,0.0005970044,0.002315925,0.002257809,0.001487997,0.004188723],"category_scores_gemma":[0.03978088,0.0005254253,0.001590967,0.003343852,0.004468488,0.01308982,0.002493807,0.001793495,0.0008449511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001040058,"about_ca_system_score_gemma":0.0006735316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001978668,"about_ca_topic_score_gemma":0.001930977,"domain_scores_codex":[0.9977149,0.0009349303,0.0001007381,0.0003113222,0.0006327012,0.0003054192],"domain_scores_gemma":[0.9844231,0.008325241,0.003181075,0.003033834,0.0006552841,0.0003814608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005236618,0.00005499487,0.01477798,0.000145383,0.0001341243,0.0004049991,0.0002779457,0.1230545,0.0009826575,0.81847,0.002072487,0.03957254],"study_design_scores_gemma":[0.0000211509,0.0001123531,0.01334084,0.00006849527,0.00004792433,0.0003130455,0.0003669509,0.1990042,0.0007494541,0.7793657,0.006558042,0.00005194278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2339361,0.001368236,0.715798,0.002410265,0.0001760459,0.0001728151,0.0006144622,0.000336502,0.04518756],"genre_scores_gemma":[0.9309435,0.00199106,0.06067475,0.0002696162,0.0004808208,0.0003386217,0.0003104841,0.00030009,0.004691048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005614616,"threshold_uncertainty_score":0.02969331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01931165437251463,"score_gpt":0.232109044454846,"score_spread":0.2127973900823313,"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."}}