{"id":"W2122523849","doi":"10.1142/s0129156406003862","title":"ULTRA VIOLET DETECTION SENSORS","year":2006,"lang":"en","type":"article","venue":"International Journal of High Speed Electronics and Systems","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; École de Technologie Supérieure","funders":"","keywords":"Ultra violet; Battery (electricity); Microelectromechanical systems; Ultraviolet; Computer science; Ultraviolet radiation; Optoelectronics; Materials science; Electrical engineering; Engineering; Physics; Chemistry","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":[0.00005530675,0.0000952963,0.0001533331,0.0001200582,0.00001789803,0.0000518901,0.0001471401,0.00007613952,0.00000275592],"category_scores_gemma":[0.00001940974,0.00008313163,0.0000440961,0.00005871637,0.0000225402,0.0001046532,0.000006920175,0.0002300201,0.00000246903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043299,"about_ca_system_score_gemma":0.000003784844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003022818,"about_ca_topic_score_gemma":0.000006981372,"domain_scores_codex":[0.9992039,0.000007515808,0.0003296659,0.00006730903,0.0002391192,0.0001524819],"domain_scores_gemma":[0.9996259,0.00003742057,0.0001164528,0.00004507834,0.0001495698,0.0000256372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001961344,0.00001146147,0.00008252107,0.000009380395,0.00008856111,0.00002946571,0.000006721674,0.126498,0.8674768,0.003060821,0.0002178762,0.002498843],"study_design_scores_gemma":[0.0007195644,0.0001222287,0.0004442196,0.00007066705,0.00002074053,0.001377094,0.000071678,0.01966169,0.9509162,0.007415834,0.01896008,0.000219994],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923277,0.00245227,0.003974867,0.000085446,0.0006565996,0.00003657488,0.000004651039,0.00008515177,0.0003767583],"genre_scores_gemma":[0.9988465,0.0006258666,0.00007875084,0.000004290837,0.0003769183,5.554386e-7,0.000001803935,0.00001487235,0.0000504458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068363,"threshold_uncertainty_score":0.3390009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003610467259129912,"score_gpt":0.199024743930719,"score_spread":0.1954142766715891,"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."}}