{"id":"W4381550791","doi":"10.1155/2023/4484202","title":"How to Improve the Efficiency of Check-In Counter: A Counter-Sharing Method","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Queue; Computer science; Idle; Process (computing); Shared resource; Time-sharing; Queueing theory; Operations research; Computer network; Engineering; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008499926,0.00007777007,0.0002975554,0.0003576385,0.00003628552,0.00002811984,0.0001759736,0.00004551881,0.00002829457],"category_scores_gemma":[0.00006214222,0.00006619516,0.0001237783,0.0008231881,0.00001275445,0.0003280868,0.000003061516,0.0001533181,0.000006488693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004802964,"about_ca_system_score_gemma":0.00001470707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002017934,"about_ca_topic_score_gemma":0.00005927947,"domain_scores_codex":[0.998862,0.000008332207,0.0007756559,0.0001444752,0.00008201848,0.0001275428],"domain_scores_gemma":[0.998849,0.00005505636,0.00083224,0.0001268144,0.00009997847,0.00003688935],"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":[0.0004038798,0.0004008812,0.2491366,0.0002014894,0.0003860901,0.00006387718,0.01922213,0.6213,0.01776402,0.0601533,0.0003333067,0.03063443],"study_design_scores_gemma":[0.002593553,0.0005224656,0.9451159,0.0001617865,0.00007521609,0.000005299254,0.00536934,0.006957944,0.009512908,0.01297814,0.01635559,0.0003518903],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9197646,0.0001912218,0.07715133,0.002120473,0.0003557503,0.0001033017,0.00007654422,0.000007072325,0.0002297282],"genre_scores_gemma":[0.9978606,0.00006973631,0.001589456,0.00004762939,0.000055351,0.00000646312,0.000009476132,0.000008757704,0.0003525711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6959793,"threshold_uncertainty_score":0.269936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526407877362691,"score_gpt":0.2744445034692135,"score_spread":0.2491804246955866,"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."}}