{"id":"W2020153214","doi":"10.1115/ipc2008-64475","title":"Crack Growth Model of Pipeline Steels in Near-Neutral pH Soil Environments","year":2008,"lang":"en","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada); University of Alberta","funders":"","keywords":"Materials science; Paris' law; Corrosion; Stress intensity factor; Tension (geology); Intensity (physics); Stress concentration; Pipeline (software); Growth rate; Stress (linguistics); Crack closure; Range (aeronautics); Gas pipeline; Metallurgy; Structural engineering; Composite material; Geology; Fracture mechanics; Engineering; Optics; Petroleum engineering; Geometry; Ultimate tensile strength; Mathematics; Physics","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":[0.00007813889,0.0001410921,0.0001839429,0.00006943788,0.00001995331,0.000004197736,0.000150864,0.00007037062,0.0000256709],"category_scores_gemma":[0.00002305586,0.0001460737,0.00003631985,0.0001058805,0.00008909727,0.0001426951,0.0000436188,0.0001508148,0.00001382005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007061427,"about_ca_system_score_gemma":0.00001372436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001025741,"about_ca_topic_score_gemma":0.00001497989,"domain_scores_codex":[0.9992572,0.00001200712,0.0002598555,0.0001433877,0.000116937,0.0002106174],"domain_scores_gemma":[0.9996868,0.00003190591,0.00002688997,0.0001999733,0.00001085993,0.00004355071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003695591,0.0003529589,0.1113308,0.0002151341,0.00004522698,0.00005487926,0.001311315,0.3444778,0.5281566,0.01046488,0.002950276,0.0006031591],"study_design_scores_gemma":[0.0006218971,0.00005438554,0.0228537,0.0000482648,0.000008540888,0.00002274307,0.00001233681,0.5121218,0.4080659,0.05578769,0.000009656117,0.0003930522],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256606,0.00001794613,0.05351612,0.00001062806,0.00002190248,0.0001105795,0.000005983144,0.0003423081,0.020314],"genre_scores_gemma":[0.7609839,0.00003395861,0.2388016,0.00001456616,0.00001040101,0.000008537823,0.000002228548,0.00002902009,0.000115764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1852855,"threshold_uncertainty_score":0.5956714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294818293247081,"score_gpt":0.2132729667219098,"score_spread":0.190324783789439,"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."}}