{"id":"W4317435533","doi":"10.1002/qre.3271","title":"Fault tree analysis improvements: A bibliometric analysis and literature review","year":2023,"lang":"en","type":"article","venue":"Quality and Reliability Engineering International","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Fundamental Research Funds for the Central Universities; Postdoctoral Research Foundation of China; Sun Yat-sen University","keywords":"Scopus; Fault tree analysis; Frontier; Data science; China; Computer science; Operations research; Regional science; Management science; Political science; Engineering; Geography","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01182777,0.001124414,0.002541651,0.2102657,0.002330804,0.006307956,0.001644606,0.00110763,0.006287432],"category_scores_gemma":[0.04821594,0.0007343678,0.002663356,0.1842332,0.001157176,0.006669263,0.003005093,0.000914023,0.001000619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005121355,"about_ca_system_score_gemma":0.01807152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008807632,"about_ca_topic_score_gemma":0.01278626,"domain_scores_codex":[0.9855211,0.002319686,0.003576125,0.001062125,0.006974654,0.0005464128],"domain_scores_gemma":[0.9372111,0.03488066,0.008010631,0.001165558,0.01791546,0.0008166002],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001862243,0.0001967998,0.037986,0.2420857,0.001951963,0.001767361,0.006192678,0.001810676,0.001667516,0.01297622,0.04829787,0.644881],"study_design_scores_gemma":[0.00009765781,0.0003998986,0.1559454,0.2792258,0.01599596,0.003964123,0.02426195,0.006522291,0.003976547,0.01239199,0.4967907,0.0004276866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.09345584,0.8160799,0.009221766,0.01249569,0.001342575,0.00232796,0.02921039,0.0004811329,0.03538487],"genre_scores_gemma":[0.2106029,0.7581944,0.01179652,0.001071822,0.0007681826,0.001344265,0.01377702,0.00009906738,0.002345755],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9881722,"threshold_uncertainty_score":0.06255198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04722463717243495,"score_gpt":0.39626013260226,"score_spread":0.349035495429825,"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."}}