{"id":"W4385733045","doi":"10.1109/dsn-w58399.2023.00021","title":"AxC 2023 Keynote","year":2023,"lang":"en","type":"article","venue":"","topic":"Ferroelectric and Negative Capacitance Devices","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Field (mathematics); Categorization; Approximation algorithm; Software; Theoretical computer science; Artificial intelligence; Machine learning; Algorithm; Programming language; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004267163,0.0000577046,0.00006010608,0.00006363633,0.00002089112,0.000009833309,0.00005836953,0.00002628485,0.0003515799],"category_scores_gemma":[0.00001215387,0.00005089007,0.00002264342,0.0005216765,0.000009453978,0.00006213909,0.000006049103,0.00005674087,0.003686578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000137498,"about_ca_system_score_gemma":0.000002623033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003057105,"about_ca_topic_score_gemma":0.000008707503,"domain_scores_codex":[0.999642,0.000003508643,0.0000599771,0.00006472626,0.00006411619,0.0001656328],"domain_scores_gemma":[0.9998423,0.00003842783,0.000003488227,0.00007433272,0.00001126977,0.00003011322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000605648,0.000007173024,0.0008340062,0.00009372356,0.00008690568,0.00004086694,0.0004386649,0.006370149,0.02663438,0.0127932,0.9184732,0.03422161],"study_design_scores_gemma":[0.0006973592,0.00008531988,0.03756602,0.00005009038,0.00001947604,0.000007903683,0.0007668377,0.5565183,0.07609136,0.01215578,0.3151198,0.0009217151],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4894807,0.0004448339,0.006225341,0.0002560774,0.0006642501,0.0001036446,0.000007248414,0.003157749,0.4996601],"genre_scores_gemma":[0.9887444,0.0001514655,0.000126817,0.00007108377,0.00006340625,0.000009666455,0.000005156289,0.00001416297,0.01081384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6033534,"threshold_uncertainty_score":0.9970891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012306578930392,"score_gpt":0.207241688320209,"score_spread":0.194935109389817,"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."}}