{"id":"W4381384258","doi":"10.1016/j.ssc.2023.115253","title":"Assessing the effectiveness of an empirical model for a compound semiconductor’s velocity-field characteristic","year":2023,"lang":"en","type":"article","venue":"Solid State Communications","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Robustness (evolution); Gallium arsenide; Monte Carlo method; Field (mathematics); Statistical physics; Semiconductor; Computer science; Mathematics; Materials science; Physics; Chemistry; Statistics; Condensed matter physics","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":[0.007467868,0.0009693727,0.0006424356,0.001458923,0.0005517011,0.001714481,0.00215062,0.002627751,0.002417647],"category_scores_gemma":[0.06486087,0.0003622827,0.0006518796,0.0007332165,0.001106838,0.003197019,0.001041362,0.001238418,0.0003652712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001907881,"about_ca_system_score_gemma":0.001453068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00942412,"about_ca_topic_score_gemma":0.003545017,"domain_scores_codex":[0.99793,0.001199491,0.00007956493,0.0003252263,0.0003152733,0.0001504332],"domain_scores_gemma":[0.9073712,0.08528112,0.002689192,0.002409456,0.001883561,0.000365541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004892282,0.0003887553,0.01178133,0.00009821059,0.00007808704,0.0000966985,0.00007180734,0.9598737,0.0008928998,0.01142458,0.0004735875,0.01433114],"study_design_scores_gemma":[0.00002773041,0.0001171402,0.001186228,0.00001456529,0.00001457529,0.00003009533,0.00003818819,0.9959114,0.0003480437,0.002155787,0.0001471235,0.000009270982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7950398,0.0004205134,0.196627,0.001309665,0.00007422508,0.0001398911,0.0003408859,0.0003661255,0.005682027],"genre_scores_gemma":[0.987773,0.00009450884,0.01130088,0.00007078554,0.00001986295,0.00003936875,0.0001776945,0.00002835403,0.0004955313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00942412,"threshold_uncertainty_score":0.03949434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150046447525423,"score_gpt":0.4082815558360415,"score_spread":0.2932769110834991,"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."}}