{"id":"W4236149909","doi":"10.22215/etd/2012-07434","title":"Low power gamma-ray FG-MOSFET dosimeter in 0.13 um CMOS technology","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Radiation Effects in Electronics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"National Research Council Canada; Directorate for Biological Sciences","keywords":"CMOS; Electrical engineering; Physics; Ultra low power; MOSFET; Dosimeter; Power (physics); Engineering; Nuclear physics; Voltage; Transistor; Power consumption; Radiation","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000173526,0.0004190485,0.0004198079,0.0008064538,0.00002742862,0.00002859143,0.0003372136,0.001100962,0.0009284052],"category_scores_gemma":[0.00006369731,0.0004348375,0.00009282127,0.0005994895,0.00001918625,0.0001746426,0.00001351506,0.0009502211,0.000662208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381893,"about_ca_system_score_gemma":0.00005468501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001826477,"about_ca_topic_score_gemma":0.0006594955,"domain_scores_codex":[0.9983309,0.00002853052,0.0004114375,0.0003040584,0.0002142283,0.0007108432],"domain_scores_gemma":[0.99924,0.00007799667,0.00007218526,0.0004956064,0.00004479601,0.00006945078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002677539,0.0009963836,0.005552799,0.003883689,0.001813997,0.0001352616,0.005708094,0.522948,0.1126129,0.01619219,0.09932669,0.2305623],"study_design_scores_gemma":[0.006008866,0.0008917036,0.0774636,0.001346216,0.0005152262,0.00006924084,0.00144551,0.1941363,0.4488399,0.004027333,0.2556489,0.009607199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8853233,0.003151303,0.0009130003,0.00006693225,0.003824089,0.0008596039,0.00001227394,0.001449397,0.1044001],"genre_scores_gemma":[0.990397,0.00008355472,0.0005579997,0.00004148356,0.0001126884,0.0001778598,0.0003360639,0.0001664024,0.008126981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.336227,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002156819907162879,"score_gpt":0.2080206138403166,"score_spread":0.2058637939331537,"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."}}