{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001709561,0.0001489644,0.0002065795,0.0001777749,0.0000299387,0.0000529671,0.0007234723,0.0000613885,0.000007923645],"category_scores_gemma":[0.0009391889,0.000144884,0.00009975454,0.00006877714,0.00001794717,0.00125585,0.00008079526,0.0002018396,4.827498e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002535464,"about_ca_system_score_gemma":0.00003972668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001283807,"about_ca_topic_score_gemma":4.568969e-7,"domain_scores_codex":[0.9988986,0.000008265197,0.0004863655,0.000101881,0.0002419779,0.0002628664],"domain_scores_gemma":[0.9987751,0.0003498704,0.0001208907,0.0002050855,0.0004558143,0.00009322616],"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":[0.0009397258,0.0008970895,0.04265686,0.006215992,0.00283306,0.00001235695,0.005189826,0.155187,0.2850557,0.02852814,0.009804972,0.4626794],"study_design_scores_gemma":[0.0008158161,0.00009928263,0.00307242,0.0002380794,0.00007557817,0.0003253078,0.00005777507,0.9667694,0.01267351,0.004875508,0.01065644,0.0003408922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06386743,0.0002254917,0.9340355,0.00006730286,0.001207356,0.0002033647,0.0001281001,0.0001702336,0.00009519968],"genre_scores_gemma":[0.4203843,0.000004841346,0.5788519,0.000007736386,0.0006916479,0.0000156455,0.00001694574,0.00002622436,7.901539e-7],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8115824,"threshold_uncertainty_score":0.59082,"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."}}