{"id":"W2080853794","doi":"10.1061/41109(373)128","title":"Quantitative Assessment of Horizontal Directional Drilling Project Risk Using Fuzzy Fault Tree Analysis","year":2010,"lang":"en","type":"article","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Fault tree analysis; Probability distribution; Event (particle physics); Computer science; Fuzzy logic; Tree diagram; Reliability (semiconductor); Empirical probability; Fault (geology); Probability theory; Probability and statistics; Data mining; Reliability engineering; Algorithm; Posterior probability; Statistics; Mathematics; Artificial intelligence; Engineering; Geology; Bayesian probability","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":[0.003796766,0.0001748522,0.0006600879,0.001378682,0.0003481595,0.0001527634,0.0004639408,0.0001071606,0.0006897359],"category_scores_gemma":[0.001379601,0.0001166303,0.0008189866,0.005079186,0.0001709771,0.0004077627,0.0000940815,0.0003257531,0.00002027205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004131865,"about_ca_system_score_gemma":0.0002141421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004840051,"about_ca_topic_score_gemma":0.01810084,"domain_scores_codex":[0.9960174,0.0003717269,0.0009585202,0.0005937198,0.001826003,0.0002326625],"domain_scores_gemma":[0.996216,0.001709435,0.0006752369,0.0005548983,0.0007570707,0.00008733995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009298715,0.0003184881,0.8611439,0.000002614864,0.002732958,0.000005869977,0.0009441902,0.04061147,0.0309218,0.01385652,0.0002805769,0.04908865],"study_design_scores_gemma":[0.0002700676,0.0001376451,0.1940675,0.000003032556,0.001238518,0.000002668164,0.004138697,0.7882909,0.001641158,0.009379419,0.0005834285,0.0002469678],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.754023,0.0000196783,0.2270616,0.00007747723,0.0002283206,0.00009338413,0.00005104311,0.00002336542,0.01842215],"genre_scores_gemma":[0.8382145,0.00004439946,0.1612484,0.000007320025,0.00005630194,0.000003775987,0.000009087849,0.000006361487,0.0004098574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7476794,"threshold_uncertainty_score":0.9998162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135945250517539,"score_gpt":0.4631324531051381,"score_spread":0.3495379280533842,"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."}}