{"id":"W4200214113","doi":"10.1109/sensors47087.2021.9639830","title":"A New Foundry-Based Open-Gate Junction Field-Effect Transistor (OG-JFET) as Electronic Sensing Platform (ESP) for Life Science Applications","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Sensors","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"CMC Microsystems (Canada); York University","funders":"","keywords":"JFET; Optoelectronics; Materials science; Field-effect transistor; Ohmic contact; Electrical engineering; Silicon; Transistor; Layer (electronics); Electronic engineering; Computer science; Nanotechnology; Voltage; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003067658,0.0002889383,0.0003976893,0.00007704928,0.000354076,0.0001715349,0.0003314723,0.0001989251,0.000426987],"category_scores_gemma":[0.0007353188,0.0002988957,0.0002544215,0.0008165512,0.00008589519,0.0002080783,0.00003898903,0.0004146755,0.0001221435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227442,"about_ca_system_score_gemma":0.0009027818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001251396,"about_ca_topic_score_gemma":0.00004052377,"domain_scores_codex":[0.997821,0.0000223775,0.0003708305,0.0007132461,0.0003533431,0.0007192318],"domain_scores_gemma":[0.9981505,0.0006112473,0.00008209546,0.0005199439,0.0002036217,0.0004325694],"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":[0.000353258,0.00007510761,0.00000682287,0.0002231715,0.0001308713,0.00002727557,0.0001157152,0.02751837,0.9574926,0.002216926,0.001352468,0.01048741],"study_design_scores_gemma":[0.001108797,0.0001062185,0.000002623392,0.0000514089,0.0001425539,0.00002587422,0.00008208131,0.1430821,0.8255642,0.0005028137,0.02895055,0.0003808144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4420368,0.0002010244,0.5412424,0.003123851,0.0004985481,0.001291657,0.00001985425,0.0002833577,0.01130246],"genre_scores_gemma":[0.9848105,0.00001603912,0.005124117,0.0006415515,0.000588214,0.00004234983,0.00004991727,0.00005826143,0.008669055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5427737,"threshold_uncertainty_score":0.9999463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463836762181688,"score_gpt":0.2759470417888243,"score_spread":0.2613086741670075,"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."}}