{"id":"W4389722625","doi":"10.1109/tuffc.2023.3337741","title":"IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control Publication Information","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Automatic frequency control; Materials science; Electronic engineering; Electrical engineering; Computer science; 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":[0.0008897171,0.0007450469,0.0008247581,0.001501098,0.0008802895,0.0003328401,0.0004048033,0.001112177,0.00007216237],"category_scores_gemma":[0.0001180037,0.000782683,0.0002667112,0.002230693,0.0001621574,0.001047757,4.181465e-7,0.001965061,0.0001638431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004631182,"about_ca_system_score_gemma":0.0002113465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002249092,"about_ca_topic_score_gemma":0.0002153971,"domain_scores_codex":[0.9962106,0.0001922206,0.001152342,0.0006509279,0.0005814828,0.001212409],"domain_scores_gemma":[0.9975007,0.0008712039,0.0002488627,0.0006374823,0.0003858689,0.0003558729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008647468,0.0007333392,0.0003096384,0.0003852366,0.002636428,0.00004899802,0.001293726,0.1082131,0.04867862,0.01572918,0.002620512,0.8184865],"study_design_scores_gemma":[0.01648807,0.002487348,0.0005269367,0.0001869512,0.001000313,0.0002338014,0.0002387121,0.9548305,0.01462297,0.004260558,0.002667682,0.0024562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02146341,0.00096118,0.9673083,0.001509461,0.002097294,0.002112127,0.0008190705,0.002260651,0.00146853],"genre_scores_gemma":[0.9959773,0.002230758,0.0001227108,0.0005163275,0.0001171077,0.0006822663,0.00005281874,0.0001018086,0.0001989144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9745139,"threshold_uncertainty_score":0.9994624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009454686636754358,"score_gpt":0.19836880602668,"score_spread":0.1889141193899257,"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."}}