{"id":"W4327518480","doi":"10.23977/acss.2023.070115","title":"Passenger Flow Distribution Model in Urban Rail Transit Hub Platform","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Urban rail transit; Rail transit; Flow (mathematics); Transport engineering; Process (computing); Simulation; Engineering; Computer science; Automotive engineering","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":[0.0002056389,0.0001107071,0.0001756201,0.0001233132,0.00002442261,0.00004007867,0.0000758851,0.00005615863,7.156789e-7],"category_scores_gemma":[0.000001076318,0.0001081075,0.00002296456,0.0002344062,0.00001224892,0.0003270796,0.00001889761,0.00009411635,0.000003727712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000356934,"about_ca_system_score_gemma":0.000002769639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005418885,"about_ca_topic_score_gemma":0.00002489006,"domain_scores_codex":[0.9992891,0.0000138548,0.0002508492,0.0001568556,0.0001024405,0.0001869163],"domain_scores_gemma":[0.999817,0.000031119,0.00001651206,0.00009322901,0.000008868819,0.00003328334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003308595,0.000008756433,0.00018592,0.000152124,0.000006327291,0.00001052717,0.0002543459,0.9593139,0.00006067345,0.001283587,0.006168129,0.03255238],"study_design_scores_gemma":[0.0002677786,0.00001797653,0.0004044786,0.000142415,0.000002056659,0.000001726642,0.00003113165,0.9899783,0.00003422052,0.0002345806,0.0087667,0.000118693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02115397,0.001828616,0.9744241,0.00002432841,0.0004901415,0.0002393518,0.00002469358,0.001480358,0.0003344195],"genre_scores_gemma":[0.9974287,0.001767673,0.0005746695,0.00001481677,0.00007713763,0.00006272736,0.00004523426,0.00001168801,0.00001732713],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9762747,"threshold_uncertainty_score":0.4408495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01413082409140751,"score_gpt":0.2260663695874379,"score_spread":0.2119355454960304,"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."}}