{"id":"W2756229746","doi":"10.3390/safety3030021","title":"Analysis of Passenger Incident Data from Five Rail Transit Systems","year":2017,"lang":"en","type":"article","venue":"Safety","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Academies of Sciences, Engineering, and Medicine","keywords":"Transport engineering; Transit (satellite); Stairs; Engineering; Rail transit; Distraction; Light rail transit; Poison control; Tripping; Public transport; Civil engineering; Medical emergency; Medicine","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":[0.0001593857,0.00007242453,0.0002189014,0.00005650177,0.00006266011,0.00004035673,0.0004478873,0.00005383632,0.0001325577],"category_scores_gemma":[0.000031615,0.00007046898,0.00005732762,0.00007720298,0.00002104094,0.0001598205,0.00005451362,0.00006447903,0.00002555334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002809891,"about_ca_system_score_gemma":0.00001067772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006104662,"about_ca_topic_score_gemma":0.001498804,"domain_scores_codex":[0.9994138,0.00001627875,0.0002175708,0.000129249,0.0001400433,0.00008304111],"domain_scores_gemma":[0.9986721,0.00004481624,0.00006511877,0.001148284,0.00003231363,0.00003739551],"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":[0.0000612921,0.0000565437,0.03825647,0.0001359242,0.0060739,0.00001705571,0.002088218,0.9361938,0.00369455,0.002694571,0.002896111,0.007831618],"study_design_scores_gemma":[0.0001451192,0.000001838673,0.2736273,0.00001133822,0.0003507436,1.085042e-7,0.00009917186,0.723901,0.00002808383,0.00001510299,0.001751637,0.00006855607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7635631,0.0009641262,0.2105233,0.0002996546,0.001113455,0.0002643663,0.004811019,0.0002259292,0.01823508],"genre_scores_gemma":[0.9988877,0.0001193611,0.0001440718,0.000008230411,0.00004185656,0.000001754386,0.0006053179,0.00001003281,0.0001816641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2353709,"threshold_uncertainty_score":0.2873642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03015408477173262,"score_gpt":0.2731671546170261,"score_spread":0.2430130698452935,"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."}}