{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001745303,0.0003227234,0.0002870147,0.00514003,0.0008976319,0.0007565644,0.0003405533,0.0003892827,0.001015707],"category_scores_gemma":[0.004690343,0.0002429888,0.0003567534,0.006058148,0.0002676632,0.0004818141,0.0008528811,0.0003322689,0.0003574912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00144577,"about_ca_system_score_gemma":0.00129659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05249314,"about_ca_topic_score_gemma":0.06823384,"domain_scores_codex":[0.997969,0.0003936959,0.0004073478,0.0002781189,0.0007123647,0.0002394692],"domain_scores_gemma":[0.9936313,0.001416843,0.001465996,0.0004237168,0.002758045,0.0003041889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004065901,0.0003609613,0.9436565,0.0003200893,0.0001560587,0.0007805356,0.009753281,0.001885472,0.004873014,0.000212836,0.001735797,0.03585882],"study_design_scores_gemma":[0.00001305213,0.0002399876,0.984498,0.00003235979,0.00004613914,0.0001605504,0.008151389,0.001662583,0.00149017,0.00002347983,0.003660521,0.00002173754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951326,0.00003540891,0.0006367648,0.0000195582,0.000004223406,0.000120375,0.003261347,0.00003220647,0.0007573779],"genre_scores_gemma":[0.9817724,0.0001209791,0.001985685,0.00001999875,0.00000898395,0.0001859533,0.01496783,0.00001425213,0.0009239091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05249314,"threshold_uncertainty_score":0.1043752,"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."}}