{"id":"W2138648521","doi":"10.1016/j.ress.2003.11.002","title":"Posbist fault tree analysis of coherent systems","year":2004,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":166,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"National Science Foundation","keywords":"Fault tree analysis; Event tree; Reliability engineering; Event tree analysis; Reliability (semiconductor); Computer science; Context (archaeology); Tree (set theory); Operator (biology); Event (particle physics); Fault (geology); Data mining; 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":[0.005859113,0.000361019,0.001789338,0.001027838,0.0001421849,0.00013291,0.001056719,0.000216479,0.00004910284],"category_scores_gemma":[0.001714368,0.0002736849,0.001208384,0.005769397,0.00008764181,0.0002322982,0.000102035,0.0002319757,0.0001196152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007510819,"about_ca_system_score_gemma":0.0001199367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001787208,"about_ca_topic_score_gemma":0.0001972137,"domain_scores_codex":[0.9937918,0.000284097,0.00268072,0.0009094973,0.001875078,0.0004588764],"domain_scores_gemma":[0.9949231,0.001198976,0.0006038728,0.002221355,0.0007757209,0.0002769413],"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":[0.00004106446,0.00007605779,0.007901497,0.0001350526,0.000717497,0.000006417072,0.0002761627,0.9813585,0.0003811631,0.007970127,0.00003037771,0.001106089],"study_design_scores_gemma":[0.001070542,0.0001264883,0.1888311,0.0003058492,0.002330887,0.00001670589,0.002200576,0.7981099,0.0003831637,0.0003599981,0.005530209,0.0007345727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5549604,0.0009694952,0.4372317,0.0005218041,0.001298735,0.0007565162,0.0003226016,0.0003944039,0.003544328],"genre_scores_gemma":[0.9983751,0.00004686178,0.001205464,0.000004690518,0.00007227804,0.00002534433,0.00002708338,0.00002259827,0.0002205341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4434147,"threshold_uncertainty_score":0.9999715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221373659911824,"score_gpt":0.2869630977417368,"score_spread":0.2647493611426185,"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."}}