{"id":"W4404832897","doi":"10.1177/10591478241305339","title":"Learning to Balance the Performance and Deterioration of Aging Systems Through Derating","year":2024,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Derating; Balance (ability); Computer science; Operations management; Economics; Business; Physical medicine and rehabilitation; Medicine; Engineering","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":[0.000131937,0.00005909759,0.00004795745,0.0000555193,0.0002076216,0.000205696,0.00002040417,0.00001284329,0.000004847171],"category_scores_gemma":[0.000006785712,0.0000455709,0.000006889778,0.0001643775,0.00001914511,0.0003078561,0.00001372617,0.00006632718,0.00000378666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001733281,"about_ca_system_score_gemma":0.000002909137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009075985,"about_ca_topic_score_gemma":0.00001082103,"domain_scores_codex":[0.9996064,0.00001661079,0.0001354779,0.000121173,0.00006388382,0.00005641573],"domain_scores_gemma":[0.9998801,0.00000521746,0.000007472166,0.00006525631,0.00003083868,0.0000110799],"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":[0.000002396479,0.000005579359,0.0008276894,0.0009548503,0.00006998119,4.668857e-7,0.006244735,0.7501788,0.01131157,0.03715695,0.000621324,0.1926257],"study_design_scores_gemma":[0.00005088279,0.00004004112,0.002145411,0.0003212965,0.00003315926,0.00003004869,0.00404427,0.9705617,0.003935149,0.00003303002,0.01867517,0.0001298727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383338,0.002216495,0.05384301,0.001141362,0.001355599,0.0004754066,9.282351e-7,0.0002208878,0.002412509],"genre_scores_gemma":[0.9966869,0.0008704178,0.001459623,0.0000169065,0.0001060672,0.00007622527,0.000002481472,0.000007039383,0.0007742819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2203829,"threshold_uncertainty_score":0.1983532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007426865914368767,"score_gpt":0.2135860545318894,"score_spread":0.2061591886175206,"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."}}