{"id":"W622496336","doi":"","title":"Air Cargo Flattens Out","year":2009,"lang":"en","type":"article","venue":"Air transport world","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air cargo; Forecast period; Air travel; Aviation; Offset (computer science); Air transport; Quarter (Canadian coin); Business; Economics; Finance; Aeronautics; Engineering; Transport engineering; Geography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001771224,0.0001608975,0.000376631,0.0002909865,0.0001112876,0.000010725,0.0001746087,0.00008670965,0.001743215],"category_scores_gemma":[0.000003855629,0.0001829831,0.000254876,0.0004738725,0.00002813399,0.0001956581,0.000003404263,0.0002113659,0.001063693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000402183,"about_ca_system_score_gemma":0.00001150241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007380188,"about_ca_topic_score_gemma":0.0004197365,"domain_scores_codex":[0.9987108,0.000004324751,0.0005846925,0.0003724173,0.00004626793,0.000281473],"domain_scores_gemma":[0.9993395,0.00001060795,0.0001830481,0.0003349132,0.00002294814,0.0001089602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001354424,0.0001850187,0.7774156,0.000007105356,0.0001279977,0.00003633929,0.0004322467,0.001218715,0.000007225708,0.2096399,0.008684962,0.002231347],"study_design_scores_gemma":[0.0003139037,0.00002682149,0.6880805,0.000008150309,0.00001981001,9.777671e-7,0.00001711777,0.000110589,0.00006869755,0.006996204,0.3041177,0.0002394547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2251162,0.00124216,0.006763422,0.02438956,0.0008089042,0.000211606,0.000365516,0.0002922368,0.7408105],"genre_scores_gemma":[0.9532192,0.00002348182,0.0001762079,0.002092765,0.0001871622,0.000006224462,0.0001058893,0.00001376718,0.04417533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.728103,"threshold_uncertainty_score":0.9997141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03178184158648853,"score_gpt":0.2250441641784914,"score_spread":0.1932623225920029,"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."}}