{"id":"W2015478738","doi":"10.1205/psep06002","title":"Methodology for Computer-Aided Fault Tree Analysis","year":2007,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Fault tree analysis; Computer science; Reliability engineering; Event tree; Event tree analysis; Decision tree; Tree (set theory); Computer-aided; Fault (geology); Data mining; Probabilistic risk assessment; Process (computing); Probabilistic logic; Engineering; Artificial intelligence; Mathematics; Programming language","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":[0.0004407147,0.0001254689,0.0002077552,0.0001290167,0.0001370949,0.00001431497,0.00004147021,0.0001116914,0.00001695914],"category_scores_gemma":[0.000007037399,0.000124523,0.00008178248,0.0001685015,0.00003134849,0.0001002502,0.000008484406,0.0001021063,0.000005134779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007437015,"about_ca_system_score_gemma":0.000001280828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000021219,"about_ca_topic_score_gemma":0.00007295769,"domain_scores_codex":[0.9992607,0.00002857006,0.0002422248,0.0001970353,0.0000852517,0.0001862553],"domain_scores_gemma":[0.999768,0.00004631184,0.00004303678,0.00007875445,0.000004145291,0.00005979109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008010332,0.00006116778,0.0005269785,0.0003107561,0.0007787137,0.000001807286,0.0007256517,0.3996617,0.04417212,0.00004492325,0.000006303711,0.5529089],"study_design_scores_gemma":[0.0009460615,0.0001690605,0.006468529,0.000006727224,0.0001690267,0.00002257811,0.0004709531,0.9785661,0.008202257,0.0002031871,0.004547188,0.0002283415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05100982,0.0001694429,0.947687,0.00002814953,0.0001852113,0.000470623,0.00001104707,0.0001576875,0.0002809982],"genre_scores_gemma":[0.9982237,0.0000442762,0.001385901,0.00002512202,0.000125953,0.00008987111,0.00002074928,0.00001585906,0.00006862295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9472138,"threshold_uncertainty_score":0.5077902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180552680773332,"score_gpt":0.2391210093788343,"score_spread":0.2210657413015011,"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."}}