{"id":"W2001696203","doi":"10.1115/pvp2012-78058","title":"COG Risk-Informed In-Service Inspection (RI-ISI) Project","year":2012,"lang":"en","type":"article","venue":"Volume 1: Codes and Standards","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Power Generation","funders":"","keywords":"Scope (computer science); Piping; Reliability engineering; Engineering; Computer science; Risk analysis (engineering); Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006820445,0.000173531,0.0002031456,0.0001593315,0.00009584289,0.00005307383,0.00008621249,0.00009931045,0.00002155248],"category_scores_gemma":[0.0002102843,0.00017018,0.0000271388,0.0003486672,0.00004529532,0.0003588493,0.00004408004,0.000241872,0.000004677413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003935065,"about_ca_system_score_gemma":0.00007168052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009825131,"about_ca_topic_score_gemma":0.001096107,"domain_scores_codex":[0.9989839,0.00003066288,0.0002153498,0.0001336834,0.000289873,0.0003465643],"domain_scores_gemma":[0.999498,0.00005583456,0.00004678957,0.0001712074,0.0001570332,0.0000711227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001291697,0.00007280856,0.9422478,0.0006299213,0.0001025351,0.00000744295,0.005796248,0.00007540551,0.001764379,0.004718071,0.01375219,0.03070399],"study_design_scores_gemma":[0.002384627,0.0005166701,0.8289384,0.0005760327,0.0001413952,0.0001357649,0.001295918,0.0330633,0.003418553,0.01810487,0.1096814,0.001743132],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958069,0.0006974574,0.009946846,0.00002137456,0.0002489059,0.000332986,0.0002222836,0.00141743,0.02904371],"genre_scores_gemma":[0.9635352,0.0003274154,0.03593035,0.00001750032,0.00009779943,0.00003706967,0.000007245249,0.00003434333,0.0000130026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1133095,"threshold_uncertainty_score":0.6939738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485635720135852,"score_gpt":0.2735197050818277,"score_spread":0.2586633478804691,"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."}}