{"id":"W3122302554","doi":"10.1115/ipc2020-9268","title":"Near Neutral pH Stress Corrosion Crack Growth Model Evaluation: PipeOnline™","year":2020,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pipeline transport; Calibration; Corrosion; Stress corrosion cracking; Pipeline (software); Stress (linguistics); Computer science; Feature (linguistics); Structural engineering; Engineering; Materials science; Mechanical engineering; Mathematics; Metallurgy; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006064374,0.0004972123,0.000377085,0.0003402772,0.0001858019,0.0005944746,0.0008385733,0.0005304092,0.001321069],"category_scores_gemma":[0.0009046329,0.000174454,0.0004438245,0.0002521928,0.0002262678,0.0003504881,0.0003751694,0.0005845056,0.0003749961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000840341,"about_ca_system_score_gemma":0.0006568481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01116085,"about_ca_topic_score_gemma":0.006618587,"domain_scores_codex":[0.9997424,0.00003787001,0.00001103592,0.00004366476,0.0001447916,0.00002011543],"domain_scores_gemma":[0.9995251,0.0001434037,0.00004245498,0.00004336886,0.0002324255,0.00001326855],"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":[0.00004253279,0.00003131321,0.001608711,0.00007566701,0.000007924969,0.00004099129,0.00003101973,0.9757745,0.007458596,0.001596321,0.0005809594,0.01275156],"study_design_scores_gemma":[0.000002122108,0.00003493802,0.0002156662,0.000003276449,0.000001732873,0.000007017288,0.000006875736,0.9972157,0.002093375,0.0001054113,0.0003107545,0.000003073547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5221353,0.000450042,0.4371409,0.0002936759,0.00007334705,0.0003332156,0.001375074,0.001909022,0.03628945],"genre_scores_gemma":[0.9636111,0.0001567049,0.03078282,0.0000201425,0.000006329192,0.00009719524,0.0004273902,0.00008264696,0.004815776],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01116085,"threshold_uncertainty_score":0.02219176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03071688052039472,"score_gpt":0.2522433879226881,"score_spread":0.2215265074022933,"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."}}