{"id":"W4288427426","doi":"10.1061/9780784484289.011","title":"Emergency Rehabilitation of Critical Water Main in Ottawa","year":2022,"lang":"en","type":"article","venue":"Pipelines 2022","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Computer science; Environmental science; Medicine; Physical therapy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005901068,0.00006879437,0.00008677531,0.00007925575,0.0001060224,0.000002487522,0.0001972179,0.00001295448,0.04176645],"category_scores_gemma":[0.000107473,0.00006312891,0.00004538725,0.0002918636,0.00009011322,0.0001222124,0.0005008607,0.0001021302,0.0002057831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001867228,"about_ca_system_score_gemma":0.000002709333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004977484,"about_ca_topic_score_gemma":0.0003742306,"domain_scores_codex":[0.9987873,0.000145449,0.0003181846,0.0002136738,0.0003226406,0.0002127416],"domain_scores_gemma":[0.9996871,0.0000464655,0.00002519904,0.0002080469,0.000004766263,0.00002837912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000443829,0.001204014,0.6864561,0.00007821691,0.000008395173,0.00002027412,0.005972643,0.01812173,0.04718722,0.003657148,0.2359774,0.00127245],"study_design_scores_gemma":[0.00113901,0.0006170899,0.5402884,0.000008070969,0.00005810298,0.00001043879,0.005110856,0.01897336,0.001496912,0.04050984,0.3910125,0.0007753897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834771,0.00005109137,0.0009330798,0.00553059,0.0006150588,0.0003034385,0.00003716433,0.0000363042,0.009016195],"genre_scores_gemma":[0.9957443,0.000002289254,0.0009174491,0.00007007768,0.00001952128,0.0001242524,0.00002248545,0.000009575479,0.003090036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.155035,"threshold_uncertainty_score":0.9591095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010521151800992,"score_gpt":0.2474295854011207,"score_spread":0.2373243738831108,"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."}}