{"id":"W2991203936","doi":"10.1139/cjce-2019-0481","title":"Water pipe failure prediction and risk models: state-of-the-art review","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Purdue University","keywords":"Pipeline (software); Predictive modelling; Computer science; Statistical model; Work (physics); Risk analysis (engineering); Risk assessment; Reliability engineering; Engineering; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003413094,0.00143478,0.002053867,0.004381833,0.0003323364,0.002565364,0.001975201,0.001434806,0.004030751],"category_scores_gemma":[0.01341184,0.0005733633,0.001838218,0.006913945,0.0005670043,0.002890576,0.0007308575,0.001221451,0.001403249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061703,"about_ca_system_score_gemma":0.003767935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006246614,"about_ca_topic_score_gemma":0.003966234,"domain_scores_codex":[0.9987336,0.000315974,0.0002065912,0.0002520563,0.0004435115,0.00004828021],"domain_scores_gemma":[0.9880926,0.009497369,0.0006081673,0.0002097389,0.001509892,0.00008221548],"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":[0.00007645597,0.0000997579,0.002525723,0.04390411,0.0005312681,0.0001253318,0.0001716773,0.01211577,0.0003189033,0.01720241,0.03028074,0.8926479],"study_design_scores_gemma":[0.00003843968,0.0004723332,0.009023669,0.06595517,0.003800701,0.001101729,0.0009060183,0.03878153,0.002023265,0.04436432,0.8332369,0.0002958188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0010944,0.9849072,0.009210497,0.001400531,0.0003930887,0.00002487761,0.0003355939,0.00007147742,0.002562399],"genre_scores_gemma":[0.01030503,0.9850445,0.003072373,0.0002166483,0.0005144893,0.0000290729,0.0003290267,0.00001521925,0.0004736171],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006246614,"threshold_uncertainty_score":0.01805037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003846968350851842,"score_gpt":0.1384570521915721,"score_spread":0.1346100838407202,"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."}}