{"id":"W2085191585","doi":"10.1109/pses.2007.4378481","title":"Calculating the Current Limits to Use in Production Line Dielectric Withstand Tests","year":2007,"lang":"en","type":"article","venue":"","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"QUAD Engineering (Canada)","funders":"","keywords":"Current (fluid); Electrical impedance; Production (economics); Term (time); Product line; Computer science; Electrical engineering; Reliability engineering; Production line; Line (geometry); Product (mathematics); Electronic engineering; Engineering physics; Engineering; Mechanical engineering; Manufacturing engineering; Physics; Mathematics","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":[0.0009027082,0.00007615874,0.00007532872,0.0001870783,0.00008227172,0.0000394889,0.0002697041,0.00003481853,5.291089e-7],"category_scores_gemma":[0.000509823,0.00004890246,0.00001513034,0.001111292,0.00001314772,0.0001775936,0.00001938041,0.0001742684,0.00001450647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005957097,"about_ca_system_score_gemma":0.00001720406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000526473,"about_ca_topic_score_gemma":0.001157639,"domain_scores_codex":[0.9990609,0.00003352717,0.0001987216,0.0002641249,0.0001960063,0.0002466926],"domain_scores_gemma":[0.9994019,0.00008050966,0.00004467123,0.000364455,0.00007361397,0.00003486201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002468888,0.0002135166,0.1950814,0.00001891234,0.00001254191,0.00001585726,0.001184676,0.0006985418,0.07483645,0.02009438,0.0008035543,0.7070155],"study_design_scores_gemma":[0.0005393064,0.0003088388,0.649149,0.0001965558,0.000008911704,0.00006791441,0.00008491288,0.01277699,0.3234421,0.0006716844,0.01228997,0.000463866],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7525166,0.0001669493,0.2437714,0.001752918,0.0006918659,0.0004531431,5.257583e-8,0.0002090132,0.0004381086],"genre_scores_gemma":[0.997099,0.000003920569,0.002480729,0.0001189394,0.0000664894,0.000008769079,1.298702e-7,0.000003388431,0.0002185887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7065517,"threshold_uncertainty_score":0.1994185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.068082644261588,"score_gpt":0.2977607055098801,"score_spread":0.2296780612482921,"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."}}