{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006170352,0.001253928,0.00121036,0.005668502,0.001318726,0.003657896,0.002844447,0.0009385886,0.006272978],"category_scores_gemma":[0.020525,0.0007725209,0.001179474,0.004722536,0.00105208,0.00616268,0.001851465,0.001741929,0.0009374013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003696542,"about_ca_system_score_gemma":0.005330344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01290726,"about_ca_topic_score_gemma":0.00837669,"domain_scores_codex":[0.99704,0.0005552472,0.0002382249,0.0006435261,0.001135391,0.0003875672],"domain_scores_gemma":[0.9873905,0.005092728,0.002378675,0.001197284,0.003637707,0.0003030129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004266666,0.0007194944,0.01747585,0.000468334,0.0001166276,0.0001877158,0.0007788233,0.359987,0.02092479,0.05000327,0.004373843,0.5445375],"study_design_scores_gemma":[0.00003453503,0.0003053214,0.003243552,0.00006997951,0.00008812777,0.00009845503,0.0003052868,0.9479488,0.02260522,0.01906832,0.006161476,0.0000709894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04080995,0.0003607236,0.9502966,0.0002569601,0.0000522939,0.0001891668,0.0001636422,0.002618439,0.005252226],"genre_scores_gemma":[0.557853,0.0004963142,0.4378641,0.0001187117,0.0000373687,0.00023486,0.0004574382,0.0003050943,0.002633034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01290726,"threshold_uncertainty_score":0.03263229,"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."}}