{"id":"W2900072028","doi":"10.1115/ipc2018-78608","title":"Implementation of Reliability-Based Criteria for Corrosion Assessment","year":2018,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TransCanada (Canada)","funders":"","keywords":"Pipeline transport; Corrosion; Reliability (semiconductor); Pipeline (software); Reliability engineering; Consistency (knowledge bases); Integrity management; Probabilistic logic; Computer science; Engineering; Materials science; Mechanical engineering; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000191874,0.00007356946,0.0001311514,0.00005133237,0.00004304853,0.0000121466,0.00006941212,0.0000533357,0.001316277],"category_scores_gemma":[0.00001325746,0.00005822271,0.00009387967,0.0001141979,0.00006095313,0.00006537596,0.000007834788,0.00004378894,0.000003636724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005578242,"about_ca_system_score_gemma":0.00001730912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001502486,"about_ca_topic_score_gemma":0.0001902884,"domain_scores_codex":[0.9994355,0.0000163468,0.0002411411,0.0001100579,0.00009042423,0.000106538],"domain_scores_gemma":[0.9995312,0.0000708766,0.00002469839,0.0001693338,0.0001769281,0.0000269735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007264643,0.00007627225,0.01161738,0.0009447166,0.00007489569,1.763398e-7,0.0004710858,0.006950668,0.9416381,0.004880414,0.01308638,0.02018725],"study_design_scores_gemma":[0.000443233,0.0002492791,0.0119579,0.00001447386,0.0000560315,2.251259e-7,0.0004546579,0.3361811,0.646431,0.002063181,0.00202097,0.0001278828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7108346,0.000005305293,0.2874506,0.0001709922,0.0003450438,0.0002216724,0.00003320819,0.00009305082,0.0008455678],"genre_scores_gemma":[0.955147,0.000002207853,0.04465731,0.00004457538,0.00005857532,0.00002033474,0.00003320917,0.000007177,0.0000296315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3292305,"threshold_uncertainty_score":0.9995967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01927306564760647,"score_gpt":0.3491666945897843,"score_spread":0.3298936289421779,"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."}}