{"id":"W4312950946","doi":"10.1115/ipc2022-97332","title":"Probabilistic Surviving Population Remaining Life and Inspection Timing Guidance","year":2022,"lang":"en","type":"article","venue":"","topic":"Structural Integrity and Reliability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Probabilistic logic; Pipeline transport; Pipeline (software); Hydrostatic test; Timeline; Reliability engineering; Computer science; Engineering; Population; Structural engineering; Mechanical engineering; Mathematics; Statistics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002042943,0.0006767649,0.0004468164,0.001676784,0.000297662,0.0008207244,0.001521905,0.0008429054,0.004910799],"category_scores_gemma":[0.01136518,0.000442248,0.000685184,0.0008128347,0.0005404588,0.0009550028,0.0008343216,0.000812832,0.0006487197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479269,"about_ca_system_score_gemma":0.001475563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00855649,"about_ca_topic_score_gemma":0.007218513,"domain_scores_codex":[0.9987275,0.0002944288,0.00004837329,0.0002531535,0.0005565271,0.0001200729],"domain_scores_gemma":[0.9940283,0.003280984,0.0009331954,0.0003749609,0.0012857,0.00009686597],"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":[0.00002348406,0.00001166961,0.002016271,0.00003169654,0.000007499981,0.00004138229,0.00003697324,0.9743189,0.001203494,0.007698446,0.0004909695,0.01411926],"study_design_scores_gemma":[0.000002444177,0.00002997741,0.001014452,0.00001026498,0.000004101407,0.0000368077,0.00001240758,0.9934643,0.0008577466,0.00384076,0.0007167486,0.000009876614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04589286,0.0001048476,0.9459083,0.0001814335,0.00001490134,0.00008882824,0.0006731245,0.000729098,0.006406759],"genre_scores_gemma":[0.878194,0.0001523246,0.1152573,0.00006491966,0.00002557679,0.0001824795,0.001100115,0.0001762963,0.004847087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00855649,"threshold_uncertainty_score":0.01701337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826516205681486,"score_gpt":0.2272040389927279,"score_spread":0.208938876935913,"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."}}