{"id":"W2114249756","doi":"","title":"Implementing Bottleneck Management Techniques and Establishing Quality of Sort Relationships to Improve Terminal Processing Capacity","year":2006,"lang":"en","type":"article","venue":"","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bottleneck; Terminal (telecommunication); Throughput; Capacity utilization; Capacity management; Process (computing); Computer science; Engineering; Operations management; Computer network; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01043265,0.0001753342,0.0002915132,0.0006582573,0.0004986607,0.000823406,0.0005118262,0.00006248122,0.00006708896],"category_scores_gemma":[0.0006024581,0.0001461529,0.00005850759,0.0009520916,0.00008962029,0.001431137,0.0006722328,0.0001450912,0.00000689216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006431685,"about_ca_system_score_gemma":0.00002102959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007508508,"about_ca_topic_score_gemma":0.0008035873,"domain_scores_codex":[0.996403,0.0002354453,0.001323395,0.0006246715,0.001055902,0.0003575749],"domain_scores_gemma":[0.9982334,0.0003238194,0.0004208085,0.0005928687,0.0003639099,0.00006523768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002502036,0.0002103116,0.2020708,0.0001874497,0.00002138992,0.000008706405,0.0005354919,0.00002340748,0.01447302,0.2440481,0.008327192,0.5300691],"study_design_scores_gemma":[0.0009627827,0.0003577988,0.4298305,0.0003219576,0.0001257916,0.00002244492,0.0108024,0.003152178,0.1892332,0.2587238,0.1048567,0.001610494],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5820539,0.00002447793,0.2511713,0.0007652335,0.00004196116,0.001142997,0.0000200896,0.0003696926,0.1644104],"genre_scores_gemma":[0.7360762,0.000002086929,0.2608701,0.00005368712,0.0000407254,0.00007369502,0.000004434525,0.00001021943,0.002868781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5284586,"threshold_uncertainty_score":0.7940123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1283284216625002,"score_gpt":0.4040703537137172,"score_spread":0.275741932051217,"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."}}