{"id":"W819615989","doi":"","title":"Air Canada boosts freight","year":2005,"lang":"en","type":"article","venue":"Traffic world","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air cargo; Subtitle; Transport engineering; Business; Aeronautics; Aviation; Air travel; Engineering; Computer science; Aerospace engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006520998,0.000657937,0.0002637116,0.001514215,0.00470216,0.004908693,0.0006165653,0.004033627,0.1025398],"category_scores_gemma":[0.002451045,0.0001992297,0.0003546559,0.001422222,0.0005497875,0.001382154,0.001012429,0.002903238,0.03094909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0141127,"about_ca_system_score_gemma":0.04279677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8567138,"about_ca_topic_score_gemma":0.9484419,"domain_scores_codex":[0.9987352,0.00002577474,0.00001313476,0.0000558411,0.000854862,0.0003152401],"domain_scores_gemma":[0.9967308,0.00007617968,0.000035705,0.0000497552,0.00220547,0.0009021459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008118704,0.00000563441,0.0002122376,0.00001280735,0.000001357763,0.00001813119,0.00002161638,0.00002326102,0.00009325187,0.001004357,0.9939704,0.004628924],"study_design_scores_gemma":[0.000006927751,0.000006809278,0.002366693,0.00002110743,0.000003491038,0.0000110668,0.0001431459,0.00006314997,0.0001694613,0.0002372388,0.9969644,0.000006483965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005363485,0.003986777,0.0004937122,0.1236682,0.02919487,0.0001698563,0.01494953,0.00146519,0.8207085],"genre_scores_gemma":[0.02353261,0.001747887,0.0004679367,0.01884714,0.00175601,0.00003090945,0.003415657,0.0002421715,0.9499598],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1432862,"threshold_uncertainty_score":0.3430299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009362387548229007,"score_gpt":0.1738625542876176,"score_spread":0.1645001667393886,"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."}}