{"id":"W2146811457","doi":"10.1080/20018091095483","title":"Risk Assessment and Safety Evaluation Using Probabilistic Fault Tree Analysis","year":2001,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fault tree analysis; Hazard and operability study; Risk analysis (engineering); Probabilistic risk assessment; Hazard analysis; Probabilistic logic; Risk assessment; Reliability engineering; Hazard; System safety; Failure mode and effects analysis; Event tree; Engineering; Computer science; Decision tree; Data mining; Artificial intelligence; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002682244,0.001023621,0.0007894912,0.002746052,0.0004427223,0.0008067057,0.0008863228,0.0007269263,0.002830279],"category_scores_gemma":[0.007630297,0.0003147385,0.00105101,0.001103593,0.0005216795,0.001943942,0.0008473768,0.0005419787,0.0003208597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007837602,"about_ca_system_score_gemma":0.00102643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002826164,"about_ca_topic_score_gemma":0.002025906,"domain_scores_codex":[0.9982775,0.0006546404,0.00008839947,0.0001161438,0.0007615219,0.0001017689],"domain_scores_gemma":[0.9960153,0.002799412,0.0003066924,0.0001691766,0.0006584944,0.00005096183],"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":[0.00005519912,0.00002610552,0.001564451,0.00006046875,0.00003809478,0.00006856872,0.00004674032,0.9402359,0.001235235,0.01015827,0.0004105179,0.0461004],"study_design_scores_gemma":[0.00000766224,0.00004219557,0.0003311872,0.000007004308,0.00001488719,0.00003696924,0.00001175606,0.9866142,0.0006394844,0.01189614,0.0003897779,0.000008774753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02037194,0.0001314601,0.9774141,0.00008051374,0.000007449624,0.00005894478,0.0001179909,0.0002685392,0.001548941],"genre_scores_gemma":[0.702525,0.0003871566,0.2950033,0.00003540118,0.00003223674,0.0002417699,0.0003587939,0.00005252703,0.001363812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002830279,"threshold_uncertainty_score":0.01418519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1584083454362785,"score_gpt":0.4890308023281797,"score_spread":0.3306224568919012,"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."}}