{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006657608,0.000163688,0.0009114358,0.0005308144,0.0001458558,0.000007691632,0.0001031945,0.00008420215,0.0001840473],"category_scores_gemma":[0.00003081328,0.0001358533,0.0004728743,0.0008006805,0.0000941089,0.0004513096,0.00001105302,0.0002036138,0.000006082802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006558233,"about_ca_system_score_gemma":0.00001567201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002500016,"about_ca_topic_score_gemma":0.00002691451,"domain_scores_codex":[0.9985483,0.00001569766,0.0009655985,0.0001507336,0.00008528329,0.0002343747],"domain_scores_gemma":[0.9988714,0.00003350716,0.0007507132,0.0001270045,0.00005972844,0.0001575846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002816699,0.0001617352,0.9840485,0.00002312662,0.006744473,0.00001293907,0.00471985,0.0001889853,0.000001647442,0.002875297,0.0003710765,0.0008241939],"study_design_scores_gemma":[0.000506717,0.00005707874,0.9861917,0.0000182646,0.001229072,0.00001106158,0.0008516785,0.00004093209,0.00004312925,0.001016632,0.009863398,0.0001703136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508403,0.04070279,0.001879909,0.004520376,0.0003017344,0.00004623827,0.0001193845,0.00001257278,0.001576721],"genre_scores_gemma":[0.995973,0.00294469,0.0002472636,0.0001398589,0.0002206886,0.000002993891,0.000009215106,0.000009995792,0.0004523071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04513272,"threshold_uncertainty_score":0.5539935,"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."}}