{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004975254,0.0001880377,0.000133418,0.0007432013,0.0004126516,0.0009604206,0.0001332582,0.0001694101,0.001188868],"category_scores_gemma":[0.001538745,0.000114048,0.0001526399,0.00122622,0.0003496469,0.0005990215,0.0003563386,0.0001583574,0.0001755176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008888436,"about_ca_system_score_gemma":0.001060162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01299702,"about_ca_topic_score_gemma":0.02734598,"domain_scores_codex":[0.9995717,0.0001083723,0.0000654864,0.00005130169,0.0001169619,0.00008597727],"domain_scores_gemma":[0.9988087,0.0003269375,0.000502022,0.00004317426,0.0002416049,0.00007755114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001440363,0.0001811767,0.9518976,0.000155316,0.00002802646,0.002301222,0.004483131,0.003229055,0.004041967,0.0009357978,0.0005621479,0.0320405],"study_design_scores_gemma":[0.000002676991,0.0001952665,0.9790709,0.00007639219,0.00001382026,0.0006012477,0.01468549,0.002535475,0.001060455,0.0001553221,0.001586198,0.00001683077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990394,0.00003437172,0.00007333347,0.00001731496,0.000001102943,0.00000460107,0.00003507492,0.000001365601,0.000793537],"genre_scores_gemma":[0.999015,0.0001781793,0.0002128995,0.000004712052,0.000001016659,0.000004641552,0.00005419395,0.000001564984,0.0005276683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01299702,"threshold_uncertainty_score":0.02584279,"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."}}