{"id":"W4382457010","doi":"10.3390/su15097493","title":"Asset Management, Reliability and Prognostics Modeling Techniques","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université du Québec à Trois-Rivières","keywords":"Prognostics; Maintainability; Reliability (semiconductor); Asset management; Asset (computer security); Risk analysis (engineering); Systems engineering; Physics of failure; Engineering; Computer science; Reliability engineering; Process management; Business; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008577048,0.0001509973,0.0001585344,0.0001052116,0.00009486424,0.00004748442,0.0001087357,0.0001032548,0.000006258826],"category_scores_gemma":[0.0006384052,0.0001501394,0.00004192127,0.0004959186,0.00009517966,0.0002148655,0.00011296,0.0001552296,0.00000588335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003351179,"about_ca_system_score_gemma":0.00002694581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001699388,"about_ca_topic_score_gemma":0.00000361003,"domain_scores_codex":[0.9988832,0.00004215197,0.0002594769,0.0003189486,0.0001368621,0.0003593796],"domain_scores_gemma":[0.9991196,0.00006503503,0.0000159103,0.0004291535,0.0002992411,0.00007107339],"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":[0.00002701215,0.00006660115,0.01349784,0.003600168,0.00002912806,0.00001921768,0.0003883957,0.9250105,0.00003005981,0.008780807,0.00208554,0.0464647],"study_design_scores_gemma":[0.0001101904,0.0000255408,0.003940555,0.00002103438,0.00001643316,0.000001375637,0.0005375578,0.8972601,0.0001415531,0.09524254,0.002502095,0.000201078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8272457,0.00007237186,0.1597353,0.0009638249,0.000202008,0.002028698,0.00001754721,0.004507702,0.005226839],"genre_scores_gemma":[0.9928777,0.0003535836,0.006333134,0.00001427127,0.00002481373,0.0001739842,0.00002645853,0.00002587296,0.0001701633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1656321,"threshold_uncertainty_score":0.6122505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006011840982856996,"score_gpt":0.2296390675938341,"score_spread":0.2236272266109771,"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."}}