{"id":"W6981770893","doi":"","title":"Factors influencing demand of air cargo: a case study on Malaysia Airlines Cargo Sdn Bhd (MASKARGO) / Nurul Uzma Ngah @ Omar","year":2014,"lang":"en","type":"other","venue":"UiTM Institutional Repositories (Universiti Teknologi MARA)","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Product (mathematics); Demand forecasting; Regression analysis; Jet fuel; Variables; Air travel; Gross domestic product","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":[0.0007101829,0.0002407064,0.0002125855,0.0008714898,0.001720028,0.001007798,0.0006142477,0.0009018471,0.004354389],"category_scores_gemma":[0.001017684,0.0002375549,0.0004362919,0.001441181,0.0004726126,0.001005717,0.0007031522,0.0007861531,0.0005111655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740028,"about_ca_system_score_gemma":0.001042198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921793,"about_ca_topic_score_gemma":0.04370163,"domain_scores_codex":[0.9995694,0.0001564704,0.00002589713,0.00005146912,0.00008400023,0.0001128163],"domain_scores_gemma":[0.9989237,0.000528914,0.0001867349,0.00005001784,0.000151228,0.0001593209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005235334,0.00403862,0.62831,0.000962547,0.0001409714,0.1403042,0.1295688,0.006138327,0.01034632,0.007204842,0.01173644,0.06072532],"study_design_scores_gemma":[0.0000313367,0.0009607103,0.4240503,0.0003060547,0.0000655304,0.01530673,0.5100293,0.008104729,0.006444352,0.0007284668,0.03386876,0.0001037659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968605,0.00009150941,0.0002480488,0.0002550923,0.000004935435,0.00003175255,0.0001609056,0.00000267088,0.002344599],"genre_scores_gemma":[0.9923328,0.0004807867,0.0009383468,0.00007977237,0.0000083869,0.00003727641,0.0002187843,0.000005497127,0.005898299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01921793,"threshold_uncertainty_score":0.03821218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615890272464135,"score_gpt":0.2347693073094918,"score_spread":0.1986104045848505,"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."}}