{"id":"W2057858475","doi":"10.1109/mia.2002.1011190","title":"Maximizing Large Drive Availability","year":2002,"lang":"en","type":"article","venue":"IEEE Industry Applications Magazine","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rockwell Automation (Canada)","funders":"","keywords":"Troubleshooting; Reliability engineering; Component (thermodynamics); Redundancy (engineering); Reliability (semiconductor); Engineering; Unit testing; Maintenance engineering; Computer science; Software","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":[0.0004885694,0.0007419007,0.0007794927,0.000564368,0.0006114213,0.001016403,0.0008792576,0.0006169243,0.01081316],"category_scores_gemma":[0.003837351,0.0003533085,0.0001915034,0.0005866177,0.0003152238,0.002016377,0.001591351,0.0004007788,0.003304399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003742208,"about_ca_system_score_gemma":0.0005083612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003888354,"about_ca_topic_score_gemma":0.0009504646,"domain_scores_codex":[0.9995834,0.00008431844,0.00001843465,0.00009581696,0.0001246747,0.00009331866],"domain_scores_gemma":[0.9982402,0.0008785083,0.0001176903,0.0002675577,0.0003503539,0.0001456313],"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":[0.000718052,0.0003093093,0.006264893,0.0009655011,0.0000694726,0.001081372,0.0006960786,0.2804608,0.140766,0.05334776,0.02275849,0.4925623],"study_design_scores_gemma":[0.0001711354,0.001027954,0.007596391,0.0001032226,0.0001145874,0.002976227,0.000682198,0.726353,0.09018414,0.08956128,0.08114245,0.0000873545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2686315,0.002695284,0.6479478,0.001057755,0.000148624,0.0001831016,0.0003634805,0.003362262,0.07561015],"genre_scores_gemma":[0.9439387,0.0007213225,0.04257842,0.0001207537,0.0001166994,0.00010565,0.0002265371,0.0003095229,0.01188227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01081316,"threshold_uncertainty_score":0.0361737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821600133442043,"score_gpt":0.2628520650023001,"score_spread":0.2446360636678797,"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."}}