{"id":"W4408696610","doi":"10.1109/itsc58415.2024.10920129","title":"Aerial Cable Cars in Urban Public Transit: Queuing Capacity Thresholds","year":2024,"lang":"en","type":"article","venue":"","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Deutsche Forschungsgemeinschaft","keywords":"Public transport; Queueing theory; Transport engineering; Transit (satellite); Computer science; Telecommunications; Computer network; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006921343,0.000297362,0.0002156673,0.0007843542,0.0003615001,0.001353531,0.0005908411,0.0004351649,0.002242296],"category_scores_gemma":[0.003109277,0.0001731755,0.0001727296,0.000866425,0.0007668082,0.001835145,0.0007186243,0.0003688358,0.0001453385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002129674,"about_ca_system_score_gemma":0.001051268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01233441,"about_ca_topic_score_gemma":0.009705135,"domain_scores_codex":[0.9992304,0.0001997158,0.00002625965,0.0001038445,0.0001755316,0.0002642723],"domain_scores_gemma":[0.9974589,0.001403059,0.0004215898,0.0001231202,0.0003975728,0.000195665],"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":[0.001190148,0.00036314,0.1052886,0.0003076828,0.00009451519,0.001032699,0.001221929,0.6491638,0.02759676,0.1561605,0.002425743,0.0551545],"study_design_scores_gemma":[0.00003664166,0.0006881318,0.06817555,0.00006627067,0.000105855,0.0005651226,0.004592233,0.8549957,0.01840695,0.04778541,0.004468513,0.0001137402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605967,0.0003259006,0.02833609,0.0002068688,0.00001585659,0.00003616615,0.0001164943,0.00008791153,0.01027806],"genre_scores_gemma":[0.9989334,0.00004108263,0.0007371255,0.000005432957,0.00000320907,0.000004279333,0.00001907085,0.000002976436,0.0002534142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01233441,"threshold_uncertainty_score":0.02452523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03745143612017676,"score_gpt":0.2478505999199886,"score_spread":0.2103991637998118,"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."}}