{"id":"W2460073343","doi":"10.1118/1.4957825","title":"WE‐DE‐BRC‐03: Failure Mode and Effect Analysis","year":2016,"lang":"en","type":"article","venue":"Medical Physics","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Fault tree analysis; Session (web analytics); Failure mode and effects analysis; Quality management; Quality (philosophy); Computer science; Process (computing); Process management; Medical education; Risk analysis (engineering); Engineering management; Operations management; Engineering; Medicine; Reliability engineering; World Wide Web; Management system","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":[0.006644004,0.001329927,0.0007799047,0.001161612,0.0007598096,0.003406622,0.00252519,0.002376122,0.1801861],"category_scores_gemma":[0.01230758,0.0005824427,0.001015401,0.0007355231,0.0007489314,0.002492224,0.002379068,0.00269348,0.06961931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001890028,"about_ca_system_score_gemma":0.003186914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002333401,"about_ca_topic_score_gemma":0.003334523,"domain_scores_codex":[0.9981528,0.0005239366,0.00008957234,0.0001870567,0.0007918702,0.0002547487],"domain_scores_gemma":[0.9936982,0.002721606,0.0002910511,0.0006733264,0.001971466,0.0006443509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002118338,0.0005637164,0.001111296,0.0004050497,0.00001938479,0.0002054179,0.0007392081,0.007788488,0.008429061,0.03339349,0.5965255,0.3506075],"study_design_scores_gemma":[0.0001017475,0.0003187562,0.003762512,0.0004584476,0.00001169969,0.0003670721,0.000446472,0.01492103,0.007473887,0.04466136,0.9274022,0.00007474611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02026098,0.001129529,0.6045913,0.0171914,0.003820189,0.002065979,0.00581377,0.01749335,0.3276335],"genre_scores_gemma":[0.1040204,0.001714631,0.3107924,0.003875891,0.0009901262,0.002230137,0.009385196,0.005398281,0.561593],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1801861,"threshold_uncertainty_score":0.6027824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1399764605675162,"score_gpt":0.4075629208346985,"score_spread":0.2675864602671824,"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."}}