{"id":"W4232500090","doi":"10.32920/ryerson.14648862.v1","title":"Importance analysis of fault trees by visual inspection","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fault tree analysis; Computer science; Generalization; Task (project management); Reliability (semiconductor); Rank (graph theory); Component (thermodynamics); Simple (philosophy); Tree (set theory); Fault (geology); Software; Reliability engineering; Data mining; Algorithm; Theoretical computer science; Machine learning; Mathematics; Engineering; Programming language","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":[0.001599304,0.0006480468,0.0006601441,0.005724658,0.0004232657,0.001487824,0.0009870252,0.0006237223,0.002994666],"category_scores_gemma":[0.01361825,0.0004622454,0.0007114889,0.001745642,0.0009411213,0.001669216,0.001054952,0.0009981428,0.0006086862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008164404,"about_ca_system_score_gemma":0.0004742864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002181197,"about_ca_topic_score_gemma":0.001538474,"domain_scores_codex":[0.9987217,0.0003404948,0.00007848757,0.0001902509,0.0005243919,0.0001446144],"domain_scores_gemma":[0.9921449,0.004331698,0.0008590224,0.0006337932,0.001761281,0.0002693238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005953251,0.0001449937,0.01049342,0.0005959562,0.00006808088,0.0005775413,0.0009124032,0.1850869,0.06057296,0.04856459,0.004264852,0.688123],"study_design_scores_gemma":[0.00002534275,0.0001146214,0.007364254,0.00004477613,0.00002974203,0.0003345031,0.0001344161,0.9124346,0.01981316,0.05659253,0.003066625,0.00004546534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02049502,0.0001087212,0.9777874,0.00004019395,0.00001274477,0.00004068971,0.00006031047,0.0007326309,0.000722396],"genre_scores_gemma":[0.4733222,0.0002370397,0.5238085,0.00003487194,0.0000420388,0.00008317408,0.0003811927,0.0003453752,0.001745563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005724658,"threshold_uncertainty_score":0.01001811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01455344983448022,"score_gpt":0.301696943353354,"score_spread":0.2871434935188738,"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."}}