{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002734582,0.0004644501,0.0002165116,0.0004335116,0.006590177,0.001469393,0.001156767,0.001053178,0.005758843],"category_scores_gemma":[0.0008033246,0.0003613659,0.0004517128,0.0005574801,0.001821982,0.0007440289,0.00178481,0.0009939991,0.0006165139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0221513,"about_ca_system_score_gemma":0.03862542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8526087,"about_ca_topic_score_gemma":0.9701973,"domain_scores_codex":[0.9993636,0.00004971631,0.00002241228,0.00007023465,0.0001312526,0.0003627809],"domain_scores_gemma":[0.9991942,0.00004713543,0.00006656016,0.00002826873,0.0003236885,0.0003402134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00257786,0.001501357,0.3800834,0.002492013,0.0003408677,0.05512813,0.04974738,0.03004579,0.09120082,0.01066753,0.09975073,0.2764641],"study_design_scores_gemma":[0.0001222812,0.001895303,0.5130352,0.0007470499,0.0002239168,0.005835593,0.2129984,0.01228992,0.02126543,0.003423081,0.2276029,0.0005609041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627893,0.0007320194,0.001978194,0.004450404,0.0001539357,0.0004697599,0.001026801,0.0002724518,0.02812722],"genre_scores_gemma":[0.9781836,0.000545589,0.002242363,0.0004556682,0.00001177154,0.00007019635,0.0003700189,0.00003194085,0.01808896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1473913,"threshold_uncertainty_score":0.2965186,"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."}}