{"id":"W2330885038","doi":"10.1061/40994(321)104","title":"An Empirical Model for the Prediction of Structural Behavior of Wastewater Collection Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Water Network","keywords":"Ordinal regression; Probit model; Computer science; Probit; Econometrics; Data mining; Regression analysis; Logistic regression; Logit; Statistics; Machine learning; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003534292,0.00115783,0.0007432119,0.001750047,0.0004714776,0.001855315,0.002840998,0.00198828,0.00779803],"category_scores_gemma":[0.01047095,0.0005975335,0.0008487817,0.002391265,0.001012967,0.003109178,0.001055856,0.002120801,0.001539574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002141603,"about_ca_system_score_gemma":0.001567274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01329308,"about_ca_topic_score_gemma":0.01153204,"domain_scores_codex":[0.997921,0.0008756702,0.0001186648,0.0005163027,0.000346167,0.0002220812],"domain_scores_gemma":[0.9940181,0.0041301,0.0008763192,0.0002426677,0.0006142766,0.000118574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002137854,0.0004419067,0.02950983,0.0001801666,0.0001287304,0.0003443345,0.0004562283,0.8728014,0.001125156,0.06178873,0.002359014,0.03065077],"study_design_scores_gemma":[0.00001988143,0.0000949069,0.003852,0.0000167073,0.00002337639,0.00005716841,0.00007771708,0.9863198,0.0001177481,0.008273572,0.001127891,0.00001914768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.248839,0.0004590859,0.7295341,0.00292212,0.0001066732,0.000478373,0.00434043,0.001229311,0.01209097],"genre_scores_gemma":[0.9360034,0.000580935,0.04526279,0.0001615368,0.00007687929,0.000897487,0.001733707,0.00007055856,0.01521258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01329308,"threshold_uncertainty_score":0.02643144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02613694478525657,"score_gpt":0.2558749447746048,"score_spread":0.2297379999893482,"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."}}