{"id":"W2009873136","doi":"10.1061/9780784413067.177","title":"Deltaport Intermodal Railyard Capacity Study","year":2013,"lang":"en","type":"article","venue":"","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yard; Downtime; Port (circuit theory); Throughput; Turnaround time; Lift (data mining); Container (type theory); Range (aeronautics); Ballast; Computer science; Track (disk drive); Productivity; Engineering; Transport engineering; Marine engineering; Simulation; Automotive engineering; Telecommunications; Reliability engineering; Operations management; Electrical engineering; Operating system; Mechanical engineering","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":[0.0004713722,0.0003599989,0.0002891468,0.001259334,0.0007197761,0.001188915,0.001471873,0.0004315167,0.005599762],"category_scores_gemma":[0.00132374,0.0002604761,0.0005129385,0.002140851,0.0003287977,0.0009206728,0.0005933877,0.0005774606,0.0005309813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009263176,"about_ca_system_score_gemma":0.005325295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.37883,"about_ca_topic_score_gemma":0.4987699,"domain_scores_codex":[0.9995084,0.00006462399,0.00001543279,0.00009368321,0.0001790524,0.000138774],"domain_scores_gemma":[0.9987683,0.0002765847,0.00008023919,0.00009273468,0.0006385654,0.0001436025],"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":[0.0004599741,0.0007401761,0.2353313,0.0002360584,0.0001188335,0.001670862,0.0009561807,0.7016144,0.004085693,0.006324283,0.009038164,0.03942401],"study_design_scores_gemma":[0.00006677251,0.001163233,0.2395227,0.0001374139,0.0001039198,0.0005410548,0.006147182,0.707213,0.00950609,0.001978769,0.03349097,0.000128906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739884,0.00005835099,0.001920704,0.00008588025,0.000009640405,0.0001991065,0.004617702,0.00008117157,0.01903907],"genre_scores_gemma":[0.9909154,0.00009333622,0.001367477,0.00002031736,0.000002712968,0.00009324263,0.002869624,0.00002255198,0.004615434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.37883,"threshold_uncertainty_score":0.75325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262156045151109,"score_gpt":0.1991829968184085,"score_spread":0.1729673923032976,"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."}}