{"id":"W3039631324","doi":"10.46783/smart-scm/2020-1-9","title":"Trends and Prospects of the Development of the Global and National Air Transport Markets","year":2020,"lang":"en","type":"article","venue":"Electronic Scientific Journal Intellectualization of Logistics and Supply Chain Management #1 2020","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air transport; Aviation; Internationalization; Globalization; Multinational corporation; Tourism; Business; World economy; Quarter (Canadian coin); Open skies; International trade; Economy; Industrial organization; Market economy; Economics; Finance; Political science; Geography; Engineering; Transport 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008042263,0.00009556377,0.0002116246,0.0001177351,0.0002317009,0.00003973354,0.0001948939,0.00003977877,0.0001906956],"category_scores_gemma":[0.000146155,0.00007118547,0.00006569098,0.0009543651,0.0002460357,0.00005490617,0.00008990022,0.0001139311,4.342716e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005736318,"about_ca_system_score_gemma":0.00007150738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002600108,"about_ca_topic_score_gemma":0.00002642097,"domain_scores_codex":[0.9987701,0.00003119108,0.0006657264,0.0002201135,0.0001721037,0.0001407427],"domain_scores_gemma":[0.9992014,0.00003035894,0.0005197815,0.00009192256,0.0001079896,0.00004854216],"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":[0.0000714343,0.0001398162,0.1989105,0.0001940527,0.0005113863,8.614014e-7,0.004734365,0.00251514,0.00003505976,0.7834499,0.003747843,0.005689649],"study_design_scores_gemma":[0.002342979,0.0002763179,0.7034836,0.0001902981,0.000237459,0.00003164838,0.001857344,0.09455384,0.001336695,0.1099202,0.08519775,0.0005718661],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5223696,0.008571225,0.415195,0.02011724,0.001018776,0.0007930243,0.0004809494,0.00002387936,0.03143036],"genre_scores_gemma":[0.9983995,0.0002189888,0.0002712932,0.00007852342,0.00001852099,0.000002073507,0.00001135814,0.000004421276,0.0009953419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6735297,"threshold_uncertainty_score":0.2902859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774552500339723,"score_gpt":0.2285801076883609,"score_spread":0.2008345826849636,"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."}}