{"id":"W1174952564","doi":"10.1118/1.4925491","title":"TU‐AB‐BRD‐03: Fault Tree Analysis","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Quality assurance; Fault tree analysis; Process (computing); Risk analysis (engineering); Task (project management); Risk management; Quality (philosophy); Computer science; Quality management; Root cause analysis; Harm; Process management; Reliability engineering; Operations management; Medicine; Engineering; Systems engineering; Management system; Business","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":[0.001916732,0.0008089874,0.0006913929,0.001986155,0.000638999,0.001999604,0.00154209,0.001202302,0.02454525],"category_scores_gemma":[0.006258549,0.0003641224,0.001301168,0.001401015,0.000426468,0.00185543,0.0008516637,0.001109548,0.004459774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123815,"about_ca_system_score_gemma":0.001208081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008834088,"about_ca_topic_score_gemma":0.008176352,"domain_scores_codex":[0.9985286,0.0004183165,0.00008541485,0.0001184398,0.0007373624,0.0001117077],"domain_scores_gemma":[0.9966539,0.00207289,0.0001499371,0.0003702675,0.0006994946,0.00005353387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002858414,0.0001729812,0.003670196,0.0006616883,0.0001078797,0.0003656306,0.0004993766,0.3692061,0.00662211,0.09070142,0.154313,0.3733938],"study_design_scores_gemma":[0.00005864057,0.00004854038,0.001441572,0.00008639027,0.00002656255,0.0002019615,0.0001057047,0.8900045,0.006189595,0.05378745,0.04801274,0.00003638056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009696683,0.000340712,0.9524504,0.0008237642,0.0001752255,0.0001595714,0.00458876,0.01840628,0.01335855],"genre_scores_gemma":[0.2334991,0.0008172534,0.720727,0.0005049286,0.0001930377,0.0004544291,0.01721045,0.004318595,0.02227518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02454525,"threshold_uncertainty_score":0.08211207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628749100702367,"score_gpt":0.3078428591528127,"score_spread":0.291555368145789,"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."}}