{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002316716,0.0006563306,0.0001921049,0.001096014,0.002289458,0.0007830492,0.001033408,0.0005178854,0.009518439],"category_scores_gemma":[0.0006125798,0.0001882935,0.0003552037,0.0005327193,0.000764974,0.0003023481,0.0009959285,0.0004936713,0.001356431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00490232,"about_ca_system_score_gemma":0.008255435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3902651,"about_ca_topic_score_gemma":0.7468213,"domain_scores_codex":[0.9993082,0.000054316,0.00002203578,0.00006223156,0.0003509205,0.0002022562],"domain_scores_gemma":[0.9995591,0.00001337348,0.00006286254,0.00004417144,0.0001984697,0.0001218748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001263851,0.001540225,0.1545416,0.0008280749,0.0001082299,0.008935877,0.01157875,0.01750835,0.1565038,0.006961296,0.03578468,0.6044453],"study_design_scores_gemma":[0.0001096579,0.004013458,0.6298783,0.0005761246,0.000182086,0.006599884,0.01229892,0.009943845,0.05452143,0.001422346,0.2803023,0.0001515704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9522989,0.0008128266,0.004487,0.0005946268,0.00007986845,0.0002420175,0.0005735647,0.0002699411,0.04064116],"genre_scores_gemma":[0.9402012,0.0006132811,0.006173603,0.0001251565,0.00001518498,0.00007043909,0.0006907418,0.0000541317,0.05205619],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6097349,"threshold_uncertainty_score":0.7759871,"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."}}