{"id":"W3124734975","doi":"10.1115/ipc2020-9314","title":"Surviving Population Reliability Projection Methods","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":"Stantec (Canada)","funders":"","keywords":"Probabilistic logic; Pipeline (software); Reliability (semiconductor); Reliability engineering; Hydrostatic test; Pipeline transport; Hydrostatic equilibrium; Computer science; Population; Hydrostatic pressure; Engineering; Mechanics; Physics; Artificial intelligence; Mechanical engineering","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":[0.004673151,0.00141057,0.001164465,0.001491931,0.0007587702,0.001771667,0.002276301,0.001258804,0.01192801],"category_scores_gemma":[0.009877132,0.0007160485,0.002002644,0.001060354,0.001533889,0.001554878,0.003977718,0.003118198,0.002170747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053075,"about_ca_system_score_gemma":0.002079336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005425201,"about_ca_topic_score_gemma":0.003296069,"domain_scores_codex":[0.997918,0.001271661,0.00005886171,0.0002879497,0.0003087352,0.0001548559],"domain_scores_gemma":[0.9946761,0.003200165,0.0002920589,0.0005529581,0.001120572,0.000158132],"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":[0.00004754162,0.00004724976,0.001838954,0.0002158534,0.0001397009,0.0001110245,0.000215877,0.7072719,0.0005689859,0.2019741,0.005458234,0.08211062],"study_design_scores_gemma":[0.000005636687,0.00002028963,0.0001902911,0.00004193525,0.0000134939,0.00003179683,0.00004279955,0.9337058,0.0002741815,0.06254002,0.003120972,0.00001271268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003680791,0.0002555766,0.9892084,0.0002651675,0.00005087513,0.00008092522,0.0001807258,0.0002299572,0.006047535],"genre_scores_gemma":[0.4156547,0.001704817,0.5514017,0.0005654332,0.0003691848,0.00147615,0.00182648,0.0007380064,0.02626365],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01192801,"threshold_uncertainty_score":0.03990322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774160426890645,"score_gpt":0.2988518437143512,"score_spread":0.2711102394454448,"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."}}