{"id":"W4402994213","doi":"10.3390/mi15101223","title":"A Novel Isolation Approach for GaN-Based Power Integrated Devices","year":2024,"lang":"en","type":"article","venue":"Micromachines","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"High-electron-mobility transistor; Materials science; Isolation (microbiology); Degradation (telecommunications); Transistor; Power semiconductor device; Optoelectronics; Power (physics); Threshold voltage; Voltage; Electrical engineering; Electronic engineering; Computer science; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006617628,0.0002580842,0.0001541141,0.0001460002,0.0003028634,0.0004526009,0.0006238463,0.0003491269,0.001379181],"category_scores_gemma":[0.0001041869,0.0001547678,0.000193295,0.00008911882,0.0001647005,0.0005642056,0.000449145,0.0004017048,0.000567848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002960322,"about_ca_system_score_gemma":0.0002503089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001895375,"about_ca_topic_score_gemma":0.000515288,"domain_scores_codex":[0.9998958,0.00000581136,0.000004114686,0.00002443605,0.00005250385,0.00001732513],"domain_scores_gemma":[0.9999582,0.000007803519,0.000009577699,0.000008431639,0.00001134173,0.000004752664],"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":[0.00005420394,0.00005284762,0.0004051417,0.0001749121,0.00001882716,0.0002722471,0.00008795407,0.003740666,0.9388551,0.01580674,0.001068809,0.03946264],"study_design_scores_gemma":[0.0000421571,0.0006904292,0.001746939,0.00005824441,0.00005085069,0.002313928,0.00009540416,0.119963,0.7992175,0.008297827,0.06747659,0.00004714609],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1934564,0.005834401,0.7346835,0.0006900813,0.0005114324,0.0001640917,0.0002560196,0.001917208,0.06248692],"genre_scores_gemma":[0.8542181,0.001233741,0.1349852,0.0003187452,0.0001203306,0.00009544296,0.0001528765,0.00009195903,0.008783618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001379181,"threshold_uncertainty_score":0.004613876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518704077888509,"score_gpt":0.2613059514213797,"score_spread":0.2461189106424946,"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."}}