{"id":"W648605565","doi":"","title":"REHABILITATION OF PRECAST TUNNEL LINERS TORONTO SUBWAY","year":2004,"lang":"en","type":"article","venue":"Rail Transit ConferenceAmerican Public Transportation Association","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precast concrete; Engineering; Transit (satellite); Forensic engineering; Civil engineering; Public transport; Transport 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":[],"consensus_categories":[],"category_scores_codex":[0.0002097752,0.0002134137,0.0003299893,0.0001030507,0.00004914026,0.00003836381,0.0001431134,0.0001907389,0.0001059783],"category_scores_gemma":[0.0001021027,0.0002337008,0.0001490521,0.0003699151,0.00005190597,0.0004538671,9.62828e-7,0.0001839184,0.000003305758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005446074,"about_ca_system_score_gemma":0.000111778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006593125,"about_ca_topic_score_gemma":0.002930904,"domain_scores_codex":[0.9984794,0.00002949368,0.0005521119,0.000219472,0.0004138129,0.0003056706],"domain_scores_gemma":[0.9991652,0.0001284313,0.0001522113,0.0001714422,0.0002628838,0.000119882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004805655,0.0002276711,0.005945446,0.0004322503,0.0004454162,0.000002023041,0.01020086,0.8446804,0.02530935,0.08507097,0.000233364,0.02740416],"study_design_scores_gemma":[0.005483775,0.0008022981,0.9490362,0.0002121322,0.000286919,0.000003037068,0.005288582,0.01302583,0.004088237,0.009665937,0.01047608,0.001631005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5411584,0.0001724955,0.4520015,0.001788556,0.0004599179,0.0004149947,0.0001738173,0.001020399,0.002809909],"genre_scores_gemma":[0.9958203,0.00009511971,0.003678862,0.00002813728,0.00003814427,0.00003577404,0.0002304339,0.00003240231,0.00004081143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9430907,"threshold_uncertainty_score":0.9530041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005727373113796977,"score_gpt":0.1907254021019472,"score_spread":0.1849980289881503,"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."}}