{"id":"W2070599978","doi":"10.1108/13552511111134619","title":"Reliability and availability analysis of a robot‐safety system","year":2011,"lang":"en","type":"article","venue":"Journal of Quality in Maintenance Engineering","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Backup; Reliability engineering; Robot; Reliability (semiconductor); Process (computing); Engineering; System safety; Markov process; Mean time between failures; Markov chain; Markov model; Computer science; Simulation; Failure rate; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.003510955,0.0001910525,0.0008729573,0.0004471794,0.00001682884,0.00001059908,0.0002037068,0.0001257317,0.00001776981],"category_scores_gemma":[0.0009287888,0.0001693729,0.0002386238,0.0009695005,0.00008116002,0.000335239,0.00003313715,0.0003507407,5.388284e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003451518,"about_ca_system_score_gemma":0.00002721998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009011228,"about_ca_topic_score_gemma":0.00003179954,"domain_scores_codex":[0.9975967,0.00009941659,0.001602686,0.0001797399,0.0002433608,0.0002780784],"domain_scores_gemma":[0.9986635,0.0002392983,0.0003108447,0.0003619119,0.0003181486,0.0001062229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000107375,0.00005915727,0.01450596,0.0008191143,0.0002470007,0.000007520014,0.001535162,0.9785743,0.001420812,0.00221719,0.000009576763,0.0004968118],"study_design_scores_gemma":[0.0005547553,0.00006795371,0.4378265,0.0003624143,0.0002191996,0.00001600757,0.0008775177,0.558949,0.0006709593,0.0001474631,0.00007103159,0.0002371447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7389906,0.0002567293,0.25974,0.00002743486,0.000314846,0.0001491697,0.00001502071,0.00006156407,0.0004446193],"genre_scores_gemma":[0.9769281,0.0002604811,0.02275583,0.000006616327,0.00002077748,0.000003992327,0.000001412498,0.00001666365,0.000006125773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4233206,"threshold_uncertainty_score":0.6906825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636948021977462,"score_gpt":0.2268397633694203,"score_spread":0.2104702831496457,"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."}}