{"id":"W1997910576","doi":"10.1007/s11668-012-9567-z","title":"Failure Analysis of Cast Iron Trunk Main in Cleveland, Ohio","year":2012,"lang":"en","type":"article","venue":"Journal of Failure Analysis and Prevention","topic":"Mechanical Failure Analysis and Simulation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Inro Consultants (Canada); National Research Council Canada","funders":"","keywords":"Joint (building); Structural engineering; Fracture (geology); Settlement (finance); Rotation (mathematics); Factor of safety; Forensic engineering; Geotechnical engineering; Engineering; Geology; Computer science","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":[0.001493522,0.0001842739,0.0009826804,0.001963085,0.00003557982,0.00003855796,0.000123934,0.0001711523,0.0005117297],"category_scores_gemma":[0.00004430121,0.0001523761,0.0009397756,0.003279147,0.00001684204,0.0004872435,0.00002003478,0.0002498297,0.000002086402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006338261,"about_ca_system_score_gemma":0.00001273574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000333977,"about_ca_topic_score_gemma":0.002240658,"domain_scores_codex":[0.9978701,0.0001846653,0.001175383,0.0001374345,0.0003863877,0.0002460541],"domain_scores_gemma":[0.9989714,0.00009631056,0.0004596859,0.0001949517,0.0001212965,0.0001563464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001259633,0.0004636456,0.470887,0.0002113328,0.03202473,0.00001885163,0.001680028,0.4322796,0.03102521,0.002231262,0.001631821,0.02742054],"study_design_scores_gemma":[0.00215619,0.0003058031,0.6713543,0.0001608046,0.07127796,0.00002164495,0.001363045,0.242695,0.002205186,0.001223839,0.006408323,0.000827913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8951439,0.0009536579,0.1035416,0.0001331075,0.00005379018,0.00006656285,0.00001123459,0.000008423918,0.00008771699],"genre_scores_gemma":[0.9957991,0.0002442533,0.003708538,0.000009273059,0.0001088356,0.000001663549,0.00005698038,0.00001178143,0.00005958353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2004673,"threshold_uncertainty_score":0.6213716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009944858305311095,"score_gpt":0.2444472896810104,"score_spread":0.2345024313756993,"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."}}