{"id":"W4312307603","doi":"10.1115/ipc2022-87320","title":"Implementation of API 1183 Recommended Practice for Reliability-Based Assessment of Dents in Liquid Pipelines","year":2022,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Probabilistic logic; Pipeline (software); Pipeline transport; Computer science; Engineering; Best practice; Reliability engineering; Artificial intelligence; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07593558,0.003082624,0.001814084,0.01360429,0.002397927,0.007050597,0.01020341,0.005709027,0.008778503],"category_scores_gemma":[0.1314033,0.002076272,0.003139614,0.004014384,0.002575887,0.00562976,0.006898459,0.004556053,0.00995779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006809473,"about_ca_system_score_gemma":0.01825283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03368425,"about_ca_topic_score_gemma":0.03318055,"domain_scores_codex":[0.8894083,0.02350547,0.009737285,0.0029564,0.07157741,0.002814962],"domain_scores_gemma":[0.7818984,0.01967986,0.01112061,0.0152342,0.1701181,0.001948875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004573789,0.001227247,0.0294776,0.002619034,0.0002246499,0.00121496,0.003106504,0.1419349,0.02781177,0.05216514,0.220513,0.5192478],"study_design_scores_gemma":[0.000216714,0.001607409,0.05530358,0.008040155,0.000373877,0.001280508,0.003352222,0.2413307,0.04812454,0.04448114,0.5949693,0.000919821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02321025,0.001168676,0.8463165,0.007165216,0.0006695236,0.005737631,0.004616209,0.008058839,0.1030572],"genre_scores_gemma":[0.1795649,0.001255589,0.7801417,0.001779208,0.0002021921,0.005827197,0.006999422,0.001589871,0.02264013],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07593558,"threshold_uncertainty_score":0.4015905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0175229307168762,"score_gpt":0.3512237192538557,"score_spread":0.3337007885369795,"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."}}