{"id":"W2170080703","doi":"10.1109/imtc.2002.1006900","title":"ADPCM environment with a neural network predictor engine","year":2003,"lang":"en","type":"article","venue":"","topic":"Analog and Mixed-Signal Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Converters; Artificial neural network; Quantization (signal processing); Computer science; Artificial intelligence; Control engineering; Electronic engineering; Engineering; Algorithm; Electrical engineering; Voltage","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":[0.0003954482,0.000446941,0.0004817877,0.0003302532,0.000398356,0.0009881284,0.001804551,0.0006309797,0.01010604],"category_scores_gemma":[0.001108196,0.0003240247,0.0002154156,0.000403931,0.0003067322,0.001073208,0.0008003901,0.001299185,0.002916617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003214595,"about_ca_system_score_gemma":0.0008334276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001404565,"about_ca_topic_score_gemma":0.002090658,"domain_scores_codex":[0.9996899,0.00004409733,0.00002254326,0.00007424445,0.0001422375,0.00002694778],"domain_scores_gemma":[0.999685,0.00009885358,0.00002658746,0.00007564736,0.0000873168,0.00002655356],"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":[0.001708226,0.0004826105,0.002872792,0.0006623433,0.0001302158,0.0009663442,0.0003028172,0.2608441,0.1118767,0.05692425,0.01343459,0.549795],"study_design_scores_gemma":[0.00009808475,0.0001898143,0.0002668594,0.00003333641,0.00002878966,0.000281668,0.00001507684,0.8873593,0.07682107,0.005661751,0.02920985,0.000034386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01682656,0.0002465499,0.963414,0.0001621683,0.0001379671,0.00008885369,0.0002212607,0.01250431,0.006398295],"genre_scores_gemma":[0.4578136,0.0003205134,0.5220063,0.0001961611,0.00007925052,0.0002134312,0.0005073012,0.0003930875,0.01847045],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01010604,"threshold_uncertainty_score":0.03380811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005692914556435215,"score_gpt":0.1434066335176434,"score_spread":0.1377137189612082,"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."}}