{"id":"W2085667230","doi":"10.1007/s10845-009-0347-x","title":"Accuracy and robustness of decision making techniques in condition based maintenance","year":2009,"lang":"en","type":"article","venue":"Journal of Intelligent Manufacturing","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Robustness (evolution); Taguchi methods; Monte Carlo method; Computer science; Reliability engineering; Engineering; Machine learning; Statistics; Mathematics","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":[0.02111248,0.0009364166,0.001494033,0.002017702,0.0006468811,0.002532078,0.001559772,0.002255727,0.0008324509],"category_scores_gemma":[0.1139914,0.0005880435,0.0008617514,0.001309056,0.001453057,0.002929933,0.001198999,0.00238879,0.000220456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435938,"about_ca_system_score_gemma":0.00136011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006646743,"about_ca_topic_score_gemma":0.002213094,"domain_scores_codex":[0.9921038,0.00369334,0.000680606,0.001105314,0.001912054,0.0005047946],"domain_scores_gemma":[0.776184,0.2085975,0.00372816,0.005827195,0.005015127,0.0006479982],"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":[0.004371922,0.0003300298,0.0158389,0.0001567392,0.0003648824,0.00008243021,0.0002252557,0.7965918,0.004307244,0.004806109,0.0006588919,0.1722657],"study_design_scores_gemma":[0.00003414055,0.0001466541,0.002985361,0.00001394895,0.00004404552,0.00002481507,0.00001889515,0.9919803,0.002348127,0.002329165,0.00005810843,0.00001645492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5426292,0.001776104,0.4519335,0.0005728622,0.0001860092,0.00007054521,0.0002029077,0.000744411,0.001884414],"genre_scores_gemma":[0.973678,0.0001695706,0.02563375,0.00005021881,0.00005635709,0.00001785978,0.0001335083,0.00004383983,0.0002168244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02111248,"threshold_uncertainty_score":0.1116548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00844890463435562,"score_gpt":0.2537063395989299,"score_spread":0.2452574349645742,"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."}}