{"id":"W4307136686","doi":"10.1155/2022/2559663","title":"Optimizing Intermodal Transport and Hub Location Problem for ECOWAS in the Context of Improving Intra-African Trade","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China; National Office for Philosophy and Social Sciences","keywords":"Centrality; Transshipment (information security); Context (archaeology); Ranking (information retrieval); Transport engineering; Node (physics); Pairwise comparison; Business; Operations research; Geography; Computer science; Engineering; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003457619,0.00008244036,0.0001846402,0.0001019519,0.00003813764,0.000006239724,0.00009001823,0.00002240462,0.000006419325],"category_scores_gemma":[0.000007418917,0.00007128607,0.00005415366,0.0001280662,0.00002451487,0.0001755735,7.646586e-7,0.0001999877,7.643504e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005317719,"about_ca_system_score_gemma":0.00003728022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001600032,"about_ca_topic_score_gemma":0.0001564297,"domain_scores_codex":[0.9991024,0.0000151177,0.0005616179,0.00006809052,0.0001483959,0.0001044229],"domain_scores_gemma":[0.9996042,0.00006626069,0.0002095075,0.00005130781,0.00004457411,0.00002415458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002225533,0.00006920085,0.0007844077,0.0004027992,0.00003010619,0.00001710656,0.03203091,0.8872326,0.005105892,0.0009563353,0.00001629228,0.07313182],"study_design_scores_gemma":[0.02101155,0.00636674,0.5858423,0.0009098764,0.001254747,0.0003819618,0.1802886,0.1614949,0.01169391,0.01066965,0.01818076,0.001905004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8220479,0.0008195846,0.1755512,0.0003739943,0.0003512465,0.0006200335,0.00008201373,0.00001931271,0.0001346829],"genre_scores_gemma":[0.9910926,0.00005984219,0.008714722,0.000028611,0.00002869025,0.00002727843,0.0000310774,0.00001410917,0.000003068322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7257377,"threshold_uncertainty_score":0.2906962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008785721818341407,"score_gpt":0.2128322665788032,"score_spread":0.2040465447604618,"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."}}