{"id":"W2141639985","doi":"10.1002/prs.10010","title":"Risk‐based maintenance (RBM): A new approach for process plant inspection and maintenance","year":2004,"lang":"en","type":"article","venue":"Process Safety Progress","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fault tree analysis; Reliability engineering; Flammable liquid; Engineering; Schedule; Process (computing); Planned maintenance; Reliability (semiconductor); Risk management; Risk analysis (engineering); Hazardous waste; Computer science; Waste management","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":[0.002757964,0.0004434669,0.0008145784,0.0003738557,0.0008753479,0.0003963564,0.001080185,0.000217212,0.00003136762],"category_scores_gemma":[0.002095248,0.0003159436,0.0002731378,0.001898905,0.0004770837,0.0007728305,0.00008604182,0.0003755133,0.00003223002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377298,"about_ca_system_score_gemma":0.0005915576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008758594,"about_ca_topic_score_gemma":0.0001093661,"domain_scores_codex":[0.9949912,0.000121457,0.00110071,0.0015429,0.001435344,0.0008083971],"domain_scores_gemma":[0.9966923,0.000383839,0.0008481816,0.0007111778,0.0009702238,0.0003943011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01288893,0.002357999,0.1533486,0.00140391,0.0004935373,0.00004814125,0.01155428,0.2175285,0.00003958779,0.01558091,0.007260134,0.5774955],"study_design_scores_gemma":[0.01640977,0.0008761236,0.02972951,0.0006031656,0.0005045601,0.0002149226,0.008027637,0.4502841,0.002732833,0.4642569,0.02398651,0.002373915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03686323,0.001876492,0.9465507,0.009480462,0.0002526039,0.002269153,0.000344934,0.0004662846,0.001896101],"genre_scores_gemma":[0.9612235,0.0002948419,0.03697492,0.0003038457,0.0002152429,0.0003917971,0.00006139791,0.00004695879,0.0004875093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9243603,"threshold_uncertainty_score":0.9999292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448835078898471,"score_gpt":0.345748532113375,"score_spread":0.3012601813243903,"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."}}