{"id":"W3137727436","doi":"10.36001/ijphm.2014.v5i2.2238","title":"Predictive Model Evaluation for PHM","year":2020,"lang":"en","type":"article","venue":"International Journal of Prognostics and Health Management","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Carleton University; National Research Council Canada","funders":"Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México; National Natural Science Foundation of China; University of Cambridge","keywords":"Computer science; Machine learning; Predictive modelling; Artificial intelligence; Model validation; Domain (mathematical analysis); Reliability engineering; Engineering; Data science","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":[0.005330447,0.00006941594,0.0001819197,0.0002484149,0.00008082802,0.0001683102,0.0004652908,0.00001914011,0.00002110277],"category_scores_gemma":[0.001434709,0.0000527801,0.00008809839,0.0001744598,0.0000307247,0.0001570907,0.0001006068,0.00007922777,0.000003985591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008926769,"about_ca_system_score_gemma":0.0001621618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001886424,"about_ca_topic_score_gemma":0.000002413414,"domain_scores_codex":[0.9967075,0.00006701099,0.0008193656,0.0001929543,0.002097865,0.0001152862],"domain_scores_gemma":[0.9967911,0.0002610838,0.0007661756,0.00007649889,0.001964663,0.0001404253],"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":[0.0003886459,0.0002965972,0.003673455,0.00005990381,0.0005402772,0.00001285957,0.002915672,0.3673996,0.00002405174,0.051317,0.05079024,0.5225817],"study_design_scores_gemma":[0.0007307755,0.000266826,0.004467444,0.00003834329,0.00006530908,0.000003225306,0.0003558762,0.9468337,0.000007553221,0.03759513,0.009588928,0.0000468319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007334158,0.000523607,0.9117325,0.07861086,0.0005022679,0.0004741414,0.00002674492,0.000006051106,0.0007897036],"genre_scores_gemma":[0.9694617,0.0002061857,0.02611953,0.00389636,0.0002517964,0.000008608825,0.00000433037,0.000005057529,0.00004644751],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9621275,"threshold_uncertainty_score":0.215231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3460954191233478,"score_gpt":0.5115522055623375,"score_spread":0.1654567864389896,"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."}}