{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002613759,0.00008572047,0.0001411871,0.00002851259,0.00004686105,0.00002529497,0.00006454602,0.00008660815,0.0003512822],"category_scores_gemma":[0.0002936027,0.00006894954,0.00008882779,0.0003407539,0.0000140951,0.0001552359,0.000015065,0.0001849369,0.00002160791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005346947,"about_ca_system_score_gemma":0.000002985594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000591901,"about_ca_topic_score_gemma":0.00005931241,"domain_scores_codex":[0.9993727,0.00008597723,0.0001928581,0.0001574635,0.00008638965,0.0001046758],"domain_scores_gemma":[0.9996948,0.00007831227,0.00001324769,0.0001181865,0.00003664733,0.00005878044],"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":[0.00004839808,0.00003839944,0.08216409,0.0009973439,0.0002849876,0.000001951637,0.002919937,0.5190349,0.05015695,0.003183604,0.002833324,0.3383361],"study_design_scores_gemma":[0.00006058522,0.00001942058,0.04264736,0.000004714384,0.00003104725,0.00000119096,0.0001633851,0.9429722,0.01068988,0.001505748,0.00174117,0.0001633192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6779195,0.00006315358,0.3102797,0.00126086,0.0004486024,0.0001838405,0.000002399349,0.001210492,0.008631414],"genre_scores_gemma":[0.9561675,0.0000120503,0.0435756,0.00008205014,0.00009396437,0.000004210997,0.000009594536,0.000008810805,0.00004618906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4239372,"threshold_uncertainty_score":0.3846294,"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."}}