{"id":"W4391432243","doi":"10.37745/ejlpscm.2013/vol11n42641","title":"Technical Efficiency of Container Terminal Operations in Southwestern Seaport in Nigeria","year":2023,"lang":"en","type":"article","venue":"European Journal of logistics Purchasing and Supply Chain Management","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Container (type theory); Terminal (telecommunication); Computer science; Operations management; Engineering; Geography; Operations research; Transport engineering; Telecommunications; Mechanical engineering","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":[0.001572173,0.0001268039,0.0002498219,0.0004714796,0.00003019663,0.00004104639,0.0001629071,0.00002417738,0.00001514654],"category_scores_gemma":[0.00007720636,0.0001157504,0.00003870171,0.0002691411,0.00009921959,0.00003815485,0.00008778811,0.0002241508,0.0000032994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003688438,"about_ca_system_score_gemma":0.0000119663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007866058,"about_ca_topic_score_gemma":0.00003862866,"domain_scores_codex":[0.9986712,0.0000935361,0.0007111548,0.00011372,0.0001841499,0.0002261818],"domain_scores_gemma":[0.9996462,0.00005153999,0.00006994289,0.0001293504,0.00003937473,0.00006361835],"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":[0.00007868164,0.0002989596,0.05627515,0.0006747815,0.00006857852,0.01831308,0.002740721,0.8730838,0.001357249,0.004394649,0.001260798,0.04145354],"study_design_scores_gemma":[0.005825503,0.001184343,0.5801555,0.001967791,0.0001536272,0.0007461353,0.00582312,0.3913323,0.0001204032,0.00111371,0.01033899,0.001238539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5409063,0.0004065189,0.4360472,0.0004835181,0.0007265239,0.0004667176,0.0000442771,0.0001272154,0.02079173],"genre_scores_gemma":[0.9964941,0.0002745633,0.002931334,0.00002008925,0.00005834511,0.000001384095,0.000009282372,0.00002315077,0.0001877895],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5238804,"threshold_uncertainty_score":0.4720163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648606920264459,"score_gpt":0.2344093486436302,"score_spread":0.2179232794409856,"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."}}