{"id":"W1991650832","doi":"10.1061/40745(146)73","title":"Modeling Pipe Deterioration using Soil Properties - An Application of Fuzzy Logic Expert System","year":2004,"lang":"en","type":"article","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Fuzzy logic; Expert system; Corrosion; Computer science; Environmental science; Geotechnical engineering; Data mining; Engineering; Artificial intelligence; Materials science; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006814528,0.00008772552,0.0001146403,0.00005512197,0.00004081368,0.00003138947,0.00005533278,0.00005990491,6.629286e-7],"category_scores_gemma":[0.000001174222,0.0000714191,0.0000192174,0.00007793546,0.000006254194,0.0003291424,0.000007708164,0.0000241501,0.000003270299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106334,"about_ca_system_score_gemma":0.00001014419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008649807,"about_ca_topic_score_gemma":0.0001804888,"domain_scores_codex":[0.9994484,0.00001011364,0.0002524413,0.0001064592,0.00008858095,0.00009406916],"domain_scores_gemma":[0.9997316,6.428086e-7,0.00002621555,0.0001504412,0.00006501863,0.00002610471],"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":[0.000002147063,0.000005980271,0.00000742705,0.0001082758,0.00000346784,1.273055e-7,0.0005058565,0.8384513,0.160322,0.0004352616,4.080514e-7,0.0001577552],"study_design_scores_gemma":[0.0001220102,0.00001663519,0.000003009877,0.00006709919,0.00000431407,0.000004814077,0.0004892302,0.9477867,0.05137191,0.00004133948,0.000002188705,0.00009070645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3861882,0.00009649764,0.6130145,0.000002902579,0.00006848552,0.0001313164,3.887463e-7,0.0001845815,0.0003130832],"genre_scores_gemma":[0.9880996,0.000004576501,0.0117543,0.000004867914,0.00007546673,0.00002535779,0.000008268508,0.0000204665,0.000007145298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6019113,"threshold_uncertainty_score":0.2912386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03393659929887642,"score_gpt":0.2150770116151875,"score_spread":0.1811404123163111,"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."}}