{"id":"W2330547359","doi":"10.1061/40663(2003)97","title":"The Toronto Transit Commission's Subway Tunnel and Station Leak Remediation Grouting Program","year":2003,"lang":"en","type":"article","venue":"","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Civil engineering; Environmental remediation","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":[0.000665636,0.0005546652,0.0001694975,0.0008520408,0.003020174,0.00129264,0.0009034412,0.0008787957,0.03366314],"category_scores_gemma":[0.001141093,0.000301158,0.0002640731,0.0008799218,0.0007014197,0.0003851259,0.0009376813,0.0008183288,0.004576707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008370208,"about_ca_system_score_gemma":0.04320608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6210987,"about_ca_topic_score_gemma":0.8490871,"domain_scores_codex":[0.9989671,0.00007661156,0.00001518771,0.00007487997,0.0006334019,0.0002328252],"domain_scores_gemma":[0.9973591,0.00009369909,0.0001170309,0.0001230458,0.001466302,0.0008408321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005055303,0.0005312853,0.02147669,0.0003303742,0.00002998104,0.001836532,0.001947513,0.006576434,0.02001689,0.00895137,0.6416796,0.2961178],"study_design_scores_gemma":[0.0001211858,0.0005347777,0.05989041,0.00009564163,0.00002969674,0.0004746537,0.001695537,0.004153063,0.00484257,0.0004580093,0.9276487,0.00005580089],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3609238,0.003812212,0.030968,0.02073623,0.001888032,0.003589114,0.01141306,0.007748735,0.5589208],"genre_scores_gemma":[0.3945188,0.00191914,0.02141628,0.001751221,0.0001624203,0.0003701806,0.005772162,0.0005192003,0.5735707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6210987,"threshold_uncertainty_score":0.7622654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008370421311897597,"score_gpt":0.2174706169667281,"score_spread":0.2091001956548305,"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."}}