{"id":"W2023727277","doi":"10.1109/iscas.2012.6271863","title":"A combined approach to research and graduate-level teaching of multidimensional signal processing, circuits and systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Signal processing; Graduate students; Digital signal processing; Realization (probability); Electronic circuit; Mainstream; SIGNAL (programming language); Filter (signal processing); Computer engineering; Computer architecture; Electronic engineering; Multimedia; Computer hardware; Electrical engineering; Engineering; Computer vision; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008001088,0.000138114,0.0001870847,0.0001847443,0.0000968219,0.00003445445,0.00006931407,0.00006099392,0.000002536314],"category_scores_gemma":[0.00003511812,0.0001302902,0.00001133031,0.0001353548,0.00005064637,0.0001820031,0.00009004669,0.0003511432,0.000003736382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004817229,"about_ca_system_score_gemma":0.000007173034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005241786,"about_ca_topic_score_gemma":1.794792e-7,"domain_scores_codex":[0.9988899,0.00004365367,0.0001939703,0.0001592903,0.0003343427,0.0003788016],"domain_scores_gemma":[0.9995285,0.0001023656,0.00001552466,0.00009862656,0.00005284723,0.0002021682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003086732,0.0005625259,0.0216497,0.002776167,0.0001477588,0.000002872377,0.0249691,0.1109886,0.7960517,0.02787852,0.001318792,0.01362341],"study_design_scores_gemma":[0.0008509838,0.0002244609,0.02328753,0.0003862208,0.00001139157,0.00006835354,0.0047922,0.949082,0.02007622,0.00001493818,0.000662337,0.0005433479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9597023,0.001219941,0.03009217,0.000006418803,0.00008365652,0.0003155673,0.00000382437,0.0001770907,0.008399023],"genre_scores_gemma":[0.983779,0.000003457721,0.01586571,0.000003258376,0.0000547028,0.00004187363,0.000004701008,0.00004241959,0.0002048642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8380934,"threshold_uncertainty_score":0.5313082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121179582535632,"score_gpt":0.3140342255156423,"score_spread":0.1928546429800103,"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."}}