{"id":"W4287486747","doi":"","title":"The container transport system during Covid-19: An analysis through the prism of complex networks","year":2021,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Container (type theory); Coronavirus disease 2019 (COVID-19); Prism; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Environmental science; Computer science; Virology; Engineering; Physics; Medicine; Optics; Mechanical engineering; Outbreak","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001912249,0.0001376791,0.000239164,0.00003446832,0.0005383297,0.0001077553,0.0004983141,0.00007185992,0.0001543853],"category_scores_gemma":[0.000302707,0.00009983477,0.000152977,0.0005478908,0.0001905746,0.00007069244,0.00007244457,0.0001881565,0.000001357533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007171787,"about_ca_system_score_gemma":0.00007671303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001082851,"about_ca_topic_score_gemma":0.003611285,"domain_scores_codex":[0.9977484,0.001166405,0.0004156519,0.0002173395,0.0002202029,0.0002319439],"domain_scores_gemma":[0.9971803,0.0008355644,0.0001290116,0.001247857,0.0004683915,0.0001388321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003201199,0.0004099534,0.03430454,0.0006271349,0.001700074,0.00008416538,0.02381539,0.3285992,0.001856339,0.5974686,0.001353543,0.00974907],"study_design_scores_gemma":[0.0004880558,3.367624e-7,0.05447895,0.0001289164,0.0004005074,0.00002716944,0.001907288,0.8904938,0.00378619,0.0002890588,0.04768998,0.0003097843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04530527,0.001416637,0.9096712,0.00323243,0.0001194911,0.0002306741,0.00003540268,0.0002768148,0.03971209],"genre_scores_gemma":[0.9954286,0.0003092767,0.002576159,0.00006969601,0.00001649821,0.00001749003,0.0002163345,0.0000200088,0.001345964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9501233,"threshold_uncertainty_score":0.4140451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494603201258397,"score_gpt":0.2223037936906782,"score_spread":0.2073577616780942,"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."}}