{"id":"W3112237320","doi":"10.36997/lbcs2020.311","title":"COVID-19 PANDEMIC AND ITS JURIDICAL EFFECTS ON THE TRANSPORT SECTOR ON A GLOBAL SCALE","year":2020,"lang":"en","type":"article","venue":"","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Supply chain; Convention; Scale (ratio); Pandemic; Business; 2019-20 coronavirus outbreak; Control (management); International trade; Industrial organization; Economics; Political science; Law; Geography; Marketing; Virology; Management","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":[0.003123926,0.0005070523,0.0003004341,0.001796024,0.003735078,0.008490801,0.0004928283,0.004056524,0.01007703],"category_scores_gemma":[0.007216399,0.0002203724,0.0006438592,0.002453294,0.00760484,0.00343852,0.004361835,0.005522575,0.0008492771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005784054,"about_ca_system_score_gemma":0.004381786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02276448,"about_ca_topic_score_gemma":0.0232857,"domain_scores_codex":[0.9962776,0.001271918,0.0001384675,0.0003104539,0.001339407,0.0006620506],"domain_scores_gemma":[0.9974112,0.001116381,0.0004827511,0.0002151773,0.0006092003,0.0001652357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003479783,0.0000380151,0.002561223,0.00009154315,0.00001086727,0.0006149766,0.001990395,0.0007563418,0.0002925902,0.9342966,0.04253184,0.01678086],"study_design_scores_gemma":[0.00002479816,0.0001394915,0.02112643,0.001266541,0.0000495085,0.0008729332,0.01604101,0.001417962,0.0007582844,0.2712254,0.6869375,0.0001401595],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03596871,0.007168636,0.001662545,0.0394791,0.001881625,0.00009082709,0.0005429218,0.0000394788,0.9131661],"genre_scores_gemma":[0.8698969,0.01509253,0.00234504,0.02351257,0.001940865,0.0002346066,0.0004653516,0.00009169663,0.08642055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02276448,"threshold_uncertainty_score":0.04526395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06430239530038646,"score_gpt":0.2683272754364583,"score_spread":0.2040248801360719,"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."}}