{"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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.007348766,0.0002069348,0.0007653119,0.04374742,0.0001136762,0.0004149929,0.0005051151,0.0001203488,0.00021249],"category_scores_gemma":[0.007929188,0.0001535058,0.0006462096,0.2216597,0.00006211537,0.0004214446,0.0002418932,0.0002327586,0.00002938076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004637096,"about_ca_system_score_gemma":0.00001564566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001372996,"about_ca_topic_score_gemma":0.00007300022,"domain_scores_codex":[0.9960482,0.0002047009,0.00114607,0.000798789,0.001562166,0.0002401461],"domain_scores_gemma":[0.9966714,0.001592976,0.0002445509,0.0006580357,0.0006508221,0.0001821709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007193795,0.0002319585,0.7174301,0.0007533894,0.01204071,0.00003971125,0.0009481795,0.05693198,0.0002868233,0.002912053,0.003150455,0.2052027],"study_design_scores_gemma":[0.0001680753,0.00001615458,0.830302,0.00006584404,0.001172038,0.000001607631,0.00005720377,0.1609233,0.00001188255,0.001613937,0.005474019,0.000193977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8916415,0.01437116,0.07199904,0.01964614,0.0005127281,0.0003460914,0.0005084088,0.0002855395,0.0006893798],"genre_scores_gemma":[0.9219923,0.07316864,0.001941368,0.0004480842,0.00009340503,0.00003335142,0.0003128505,0.00001068678,0.001999332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2050087,"threshold_uncertainty_score":0.9670909,"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."}}