{"id":"W4311246810","doi":"10.1520/stp163420200112","title":"Failure Mode and Effect Analysis and Why It Should Be Considered When Establishing a Condition Monitoring Program and Writing ASTM Test Methods","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Power Generation","funders":"","keywords":"Failure mode and effects analysis; Test (biology); Mode (computer interface); Forensic engineering; Reliability engineering; Engineering; Materials science; Computer science; Geology; Operating 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001085178,0.0005980467,0.0008816597,0.0008853584,0.0002275627,0.0006497161,0.0001467085,0.0004301102,0.0002160882],"category_scores_gemma":[0.0001892063,0.0006326077,0.0001139772,0.0001945347,0.0001167295,0.0003166561,0.0003274289,0.001556641,6.79808e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001449745,"about_ca_system_score_gemma":0.00001757171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001470537,"about_ca_topic_score_gemma":0.00009215157,"domain_scores_codex":[0.9978418,0.00006537692,0.0004386481,0.0006843438,0.0004730467,0.000496789],"domain_scores_gemma":[0.9968827,0.002363556,0.00007114763,0.0003544308,0.00006362629,0.0002645098],"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":[0.0001338979,0.000156434,0.02066118,0.02391168,0.02656224,0.001061301,0.008631581,0.1407487,0.06579738,0.03045902,0.0127526,0.669124],"study_design_scores_gemma":[0.00339847,0.001032815,0.001303643,0.001708093,0.007352836,0.0004271163,0.002026686,0.8732435,0.007895171,0.004186794,0.09177853,0.005646324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.07056627,0.03617025,0.3188678,0.004527089,0.00145311,0.01790875,0.002396452,0.01776881,0.5303414],"genre_scores_gemma":[0.3502848,0.002044153,0.6332161,0.0001125666,0.0007087428,0.00139585,0.0007530547,0.0009684851,0.01051633],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7324948,"threshold_uncertainty_score":0.9996125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03641143256788813,"score_gpt":0.3453474492280869,"score_spread":0.3089360166601987,"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."}}