{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004004746,0.0007665462,0.0005384979,0.0008272649,0.0004653082,0.001368004,0.001812401,0.001335075,0.004318182],"category_scores_gemma":[0.0008086127,0.0003645704,0.0005880077,0.0006033332,0.0004497092,0.001327882,0.001081727,0.001033802,0.001985667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005415002,"about_ca_system_score_gemma":0.0002449445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002339067,"about_ca_topic_score_gemma":0.0004770974,"domain_scores_codex":[0.9980395,0.0001976549,0.00006035706,0.0003745754,0.001212767,0.0001152031],"domain_scores_gemma":[0.999357,0.0001844165,0.0001233483,0.00006386296,0.0002311888,0.00004013687],"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":[0.0002008326,0.0001092909,0.0007046707,0.0008406547,0.00006949854,0.0002291529,0.0001238911,0.0007831952,0.8517805,0.006264349,0.004696815,0.1341971],"study_design_scores_gemma":[0.00002197857,0.000397959,0.0007763843,0.00007055357,0.00005244236,0.001292719,0.00009116963,0.004091207,0.9240114,0.001180451,0.06796184,0.00005192139],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.195411,0.05696908,0.6350865,0.002528031,0.003345158,0.0004851764,0.0008305985,0.003693959,0.1016506],"genre_scores_gemma":[0.5956869,0.02444299,0.2894393,0.003328782,0.0008005898,0.0003487402,0.0007594172,0.0003408473,0.08485253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004318182,"threshold_uncertainty_score":0.01444572,"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."}}