{"id":"W2256163264","doi":"","title":"Performance Metrics and Analysis of Transit Network Resilience in Toronto","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Public transport; Transport engineering; Network analysis; Transit (satellite); Work (physics); Computer science; Risk analysis (engineering); Business; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005998004,0.0003243795,0.0007843463,0.002158467,0.0003147766,0.00005184602,0.0005345808,0.0002948686,0.0004298345],"category_scores_gemma":[0.0002631764,0.0002709452,0.0002289558,0.008317488,0.0008607481,0.001120529,0.000009176398,0.0007413558,0.00000805622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000413051,"about_ca_system_score_gemma":0.0001673227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0098607,"about_ca_topic_score_gemma":0.1252275,"domain_scores_codex":[0.9932288,0.000597631,0.001303835,0.0007875542,0.002657425,0.001424761],"domain_scores_gemma":[0.9959161,0.001513856,0.0001005039,0.0005495781,0.001519651,0.0004002595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004430448,0.00008406777,0.742301,0.000487438,0.0004242972,0.00002665076,0.004360489,0.2167393,0.005793791,0.00125751,0.0001996782,0.0278827],"study_design_scores_gemma":[0.0007066845,0.0002545743,0.9688421,0.0002097748,0.0001690948,1.212558e-7,0.004707022,0.02201042,0.002133457,0.0002049194,0.0004394664,0.0003224044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909695,0.0006304436,0.006152031,0.0001777117,0.00006286938,0.0006276021,0.0002494431,0.0001050908,0.001025336],"genre_scores_gemma":[0.9938661,0.004234917,0.001479935,0.00001107203,0.00005565569,0.0001347345,0.00008257141,0.00004269362,0.00009225954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.226541,"threshold_uncertainty_score":0.9999743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246778261894789,"score_gpt":0.3287493508082682,"score_spread":0.3062815681893203,"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."}}