{"id":"W2802355496","doi":"10.38008/jats.v2i2.99","title":"AIR FREIGHT AND MERCHANDISE TRADE: TOWARDS A DISAGGREGATED ANALYSIS","year":2012,"lang":"en","type":"article","venue":"Journal of Air Transport Studies","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Air cargo; Business; Profit (economics); Air transport; Industrial organization; Air travel; Product (mathematics); International trade; Commerce; Economics; Aviation; Transport engineering; Engineering; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0006799151,0.0004282675,0.001025822,0.003089243,0.0004159769,0.004281257,0.0003375484,0.0007214631,0.003930784],"category_scores_gemma":[0.00201916,0.0003519075,0.001106264,0.005581066,0.0006224675,0.00305751,0.001670059,0.001596425,0.0007228667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050539,"about_ca_system_score_gemma":0.000765834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01455249,"about_ca_topic_score_gemma":0.007749143,"domain_scores_codex":[0.9993062,0.0002160814,0.00005411713,0.0001333434,0.0001985188,0.00009180306],"domain_scores_gemma":[0.9988475,0.0004501593,0.0002919178,0.0001802989,0.0001513348,0.00007873701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002710988,0.0004393788,0.1992309,0.0005699198,0.0013317,0.001004159,0.002537923,0.2880849,0.005919338,0.3840314,0.007365649,0.1092138],"study_design_scores_gemma":[0.00002596507,0.0001639154,0.2523019,0.0002566648,0.0003457364,0.0003469354,0.001933696,0.4016353,0.001126223,0.290632,0.05115242,0.00007931011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7833945,0.007489973,0.1578989,0.002601238,0.0001054729,0.0001148704,0.007026274,0.0001891537,0.04117973],"genre_scores_gemma":[0.9598602,0.004538198,0.02702274,0.0002891122,0.0002087756,0.00007252343,0.003395814,0.0000555483,0.004557094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01455249,"threshold_uncertainty_score":0.02893555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06370072707922604,"score_gpt":0.2736723791929896,"score_spread":0.2099716521137636,"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."}}