{"id":"W2070602169","doi":"10.1061/9780784413692.013","title":"Tucson Water's Homegrown Condition Assessment of PCCP","year":2014,"lang":"en","type":"article","venue":"Pipelines 2014","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Pipeline (software); Pipeline transport; Mile; Forensic engineering; Engineering; Civil engineering; Environmental science; Geology; Environmental engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823729,0.0006310507,0.0002476259,0.001623503,0.001355019,0.001430276,0.0009201471,0.0006285465,0.01366624],"category_scores_gemma":[0.003092629,0.0002947806,0.0001507924,0.001033966,0.0006716977,0.001254836,0.001084397,0.0008523351,0.002235497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005099214,"about_ca_system_score_gemma":0.007263954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1943796,"about_ca_topic_score_gemma":0.2459976,"domain_scores_codex":[0.9981585,0.0001929412,0.00003791429,0.0002392554,0.001211813,0.000159502],"domain_scores_gemma":[0.9972826,0.0001690043,0.0001093151,0.0002230142,0.001946503,0.000269625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004373806,0.0003951923,0.03725135,0.000124748,0.00002215855,0.0005945555,0.0008280904,0.01027614,0.0155353,0.005363225,0.431076,0.4980959],"study_design_scores_gemma":[0.0001595317,0.0008955341,0.1092735,0.0003081797,0.00003296747,0.0004362982,0.002045198,0.03795558,0.03218877,0.003026981,0.8135023,0.0001752199],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2779428,0.001350823,0.106655,0.012292,0.001633208,0.004000362,0.02429296,0.02372161,0.5481113],"genre_scores_gemma":[0.680031,0.001120834,0.08184462,0.001314658,0.0002073355,0.0007066594,0.01579159,0.001349452,0.2176338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1943796,"threshold_uncertainty_score":0.3864963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004456150744062402,"score_gpt":0.2216334187612071,"score_spread":0.2171772680171447,"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."}}