{"id":"W2040391935","doi":"10.4028/www.scientific.net/msf.556-557.461","title":"Influence Of Growth Conditions on Irradiation Induced Defects in 4H-SiC","year":2007,"lang":"en","type":"article","venue":"Materials science forum","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"Norges Forskningsråd","keywords":"Materials science; Irradiation; Nitrogen; Chemical vapor deposition; Doping; Silicon; Carbon fibers; Electron beam processing; Deep-level transient spectroscopy; Epitaxy; Analytical Chemistry (journal); Nanotechnology; Composite material; Optoelectronics; Composite number; 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":[0.0005223977,0.0001028386,0.0001462964,0.000552538,0.00004477988,0.00003140118,0.0003198235,0.00008247327,0.0000149017],"category_scores_gemma":[0.0003628896,0.0001033436,0.00001448646,0.0008074365,0.0002131444,0.0003990252,0.00004417713,0.00007328493,0.0000287744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015213,"about_ca_system_score_gemma":0.00003217633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006381985,"about_ca_topic_score_gemma":0.00003648319,"domain_scores_codex":[0.9989671,0.000008389419,0.0002702842,0.0001735323,0.0002074239,0.0003733212],"domain_scores_gemma":[0.9995761,0.00005776976,0.00005494682,0.0002254451,0.00004927532,0.00003647072],"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":[0.000002645811,0.000007685042,0.004017496,0.00001480757,9.532961e-7,0.000001805052,0.00007586915,0.002880758,0.9885013,0.004425793,0.00001644522,0.00005450174],"study_design_scores_gemma":[0.00009296883,0.00003880249,0.2301634,0.00002629905,0.000001046448,0.000001807696,0.0001136552,0.00005768941,0.7680081,0.001411848,0.000002594448,0.00008172823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987505,0.000009764874,0.00000346247,0.00003141966,0.0003695084,0.0001655948,0.00001453939,0.0002435569,0.0004116228],"genre_scores_gemma":[0.9998759,0.000004254709,0.00003825801,0.00004363418,0.00001127113,0.00001276814,0.000002216457,0.00001051583,0.000001201495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2261459,"threshold_uncertainty_score":0.4214228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158899097665379,"score_gpt":0.2467930354053729,"score_spread":0.2352040444287191,"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."}}