{"id":"W4385477840","doi":"10.1109/cai54212.2023.00107","title":"Eliminating External Factors with Variables Standardization for Monitoring Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Structural Health Monitoring Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Standardization; Preprocessor; Reliability (semiconductor); Computer science; Data pre-processing; Reliability engineering; Condition monitoring; Data mining; Engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002269612,0.001907939,0.0008326565,0.001640195,0.0007741669,0.001471452,0.001263281,0.000622415,0.002583682],"category_scores_gemma":[0.01076844,0.0006014133,0.000884391,0.001998113,0.001092544,0.00166408,0.001493352,0.002007784,0.001879219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005263253,"about_ca_system_score_gemma":0.001239764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002027339,"about_ca_topic_score_gemma":0.001850351,"domain_scores_codex":[0.9963931,0.0008074987,0.0002633887,0.0009855544,0.001366531,0.0001839281],"domain_scores_gemma":[0.995921,0.001031302,0.0004997361,0.00146371,0.001041156,0.00004304303],"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":[0.0004311665,0.0001841908,0.01006684,0.0004920579,0.0002106846,0.0003389633,0.000651974,0.0310287,0.1614988,0.03013917,0.005911873,0.7590457],"study_design_scores_gemma":[0.000061085,0.0004147272,0.02506593,0.0001583118,0.0002698913,0.0007100886,0.0003229507,0.3266674,0.5157514,0.0458271,0.08455762,0.0001933987],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009488449,0.0001872811,0.9868286,0.00007916913,0.00009997977,0.00005993202,0.0001421679,0.002248425,0.0008659392],"genre_scores_gemma":[0.242425,0.0004633437,0.7513316,0.0001587065,0.000201,0.0002678818,0.0008881756,0.001664563,0.002599712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002583682,"threshold_uncertainty_score":0.012003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522145492280449,"score_gpt":0.3074007271605078,"score_spread":0.2821792722377033,"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."}}