{"id":"W62931003","doi":"10.23940/ijpe.12.4.p389.mag","title":"A Data Processing Method for CBM for PHM","year":2012,"lang":"en","type":"article","venue":"International Journal of Performability Engineering","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Reliability engineering; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002269771,0.001252184,0.000916226,0.002710002,0.0009199752,0.00119768,0.001298992,0.001008007,0.01174327],"category_scores_gemma":[0.009797994,0.0005712822,0.0008697066,0.002625437,0.0005197523,0.001130528,0.001241703,0.001923,0.005717449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004924207,"about_ca_system_score_gemma":0.001525836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863972,"about_ca_topic_score_gemma":0.001321793,"domain_scores_codex":[0.9972045,0.0004448918,0.0003202083,0.0006470656,0.001270987,0.0001123136],"domain_scores_gemma":[0.995671,0.001283127,0.0003227226,0.0008668231,0.001773374,0.00008288091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004744575,0.0001984265,0.001822802,0.0005144526,0.0001014649,0.0002928042,0.0003071156,0.008910371,0.08739495,0.01006208,0.009306383,0.8806147],"study_design_scores_gemma":[0.0002444985,0.0006667752,0.009817693,0.0001873464,0.000159209,0.001528635,0.0003813497,0.6459978,0.20004,0.01383032,0.1268316,0.0003148334],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001650668,0.00004917391,0.9934818,0.00004553872,0.00006760041,0.000195934,0.0002911851,0.003788446,0.0004297443],"genre_scores_gemma":[0.0221338,0.0000695245,0.9746029,0.00006621426,0.00003847883,0.0007047998,0.0007918033,0.0002759767,0.001316505],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01174327,"threshold_uncertainty_score":0.03928518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05162976337788988,"score_gpt":0.3597949821937053,"score_spread":0.3081652188158154,"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."}}