{"id":"W4401539839","doi":"10.1007/978-3-031-63418-5_4","title":"SiC Technology","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Silicon Carbide Semiconductor Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Computer science","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002053369,0.0003505087,0.0003140176,0.0007571575,0.000009760492,0.00002551747,0.0003552516,0.001152124,0.001286757],"category_scores_gemma":[0.000009108181,0.0003352531,0.0001090124,0.00006821804,0.000135141,0.00003129876,0.000139044,0.0008806161,0.005450446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001283379,"about_ca_system_score_gemma":0.00001166402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.038824e-7,"about_ca_topic_score_gemma":0.0000069166,"domain_scores_codex":[0.9991783,3.025875e-7,0.0002111797,0.0002905896,0.0001025028,0.0002170636],"domain_scores_gemma":[0.9993169,0.00001889864,0.00001536386,0.0006028218,0.00002111735,0.00002494665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[1.704549e-7,4.748435e-7,7.533051e-7,0.0001003084,0.0001332358,0.00006502575,0.000004355881,0.00002081862,0.01469733,0.941276,0.03463638,0.009065123],"study_design_scores_gemma":[0.00002893027,0.00001298302,1.336026e-7,0.0001100279,0.00004172223,0.0000435866,0.00001740797,0.0003315851,0.01472504,0.3675758,0.6167334,0.0003793173],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003850684,0.01278735,0.000007809354,0.000197454,0.001111352,0.0001292572,0.00001890692,0.01670409,0.9686587],"genre_scores_gemma":[0.01537721,0.0007844818,0.0001426227,0.00002802756,0.0001210781,0.00001808554,0.000008988693,0.0002387884,0.9832807],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5820971,"threshold_uncertainty_score":0.9999099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01257563239341801,"score_gpt":0.2021986490857913,"score_spread":0.1896230166923732,"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."}}