{"id":"W4406093637","doi":"10.25105/petro.v13i2.19826","title":"ANALYSIS OF BLOWOUT PREVENTER MAINTENANCE PERFORMANCE ON RIG #55 AND RIG #99 BASED ON DEGRADATION TEST DATA IN \"DERE\" FIELD","year":2024,"lang":"id","type":"article","venue":"Petro Jurnal Ilmiah Teknik Perminyakan","topic":"Mechanical Failure Analysis and Simulation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Petro-Canada","funders":"","keywords":"Degradation (telecommunications); Marine engineering; Field (mathematics); Engineering; Computer science; Reliability engineering; Environmental science; Electrical engineering; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009492898,0.0004558132,0.0008571711,0.001337401,0.0001008931,0.0002073898,0.0005101951,0.000264833,0.0005633268],"category_scores_gemma":[0.0004479232,0.0004002862,0.000311255,0.001720809,0.00004655614,0.0004327899,0.0001161739,0.0008627646,0.0000756822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001878166,"about_ca_system_score_gemma":0.00007387503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001473013,"about_ca_topic_score_gemma":0.0006116102,"domain_scores_codex":[0.9968233,0.0001359376,0.001052045,0.0008628287,0.0006551857,0.0004707032],"domain_scores_gemma":[0.9972813,0.001158915,0.0001820842,0.001123538,0.00008417676,0.0001700224],"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":[0.001401098,0.002931889,0.2682116,0.005838877,0.006942176,0.0006424348,0.001779068,0.4135032,0.01947553,0.002437918,0.009469677,0.2673665],"study_design_scores_gemma":[0.0005179144,0.0004249163,0.03108227,0.001204985,0.001460491,0.000004280265,0.00003980622,0.9602897,0.001302268,0.00001484186,0.003277887,0.0003806507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891083,0.0009259369,0.005711329,0.001128083,0.0003618668,0.0003299238,0.0003357473,0.00008051642,0.002018258],"genre_scores_gemma":[0.9966203,0.00067555,0.0002748197,0.0002106726,0.0001625966,0.00001153797,0.0003738898,0.000049834,0.001620784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5467864,"threshold_uncertainty_score":0.9998449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843748570705915,"score_gpt":0.2652668060037957,"score_spread":0.2468293202967365,"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."}}