{"id":"W2150187225","doi":"10.1109/iscas.1996.541821","title":"A real-time video implementation of a three-dimensional first-order recursive discrete-time filter","year":2002,"lang":"en","type":"article","venue":"","topic":"Digital Filter Design and Implementation","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"NTSC; Filter (signal processing); Computer science; Adaptive filter; Interconnectivity; Real-time computing; Filter design; Computer hardware; Digital filter; Path (computing); Computer vision; Algorithm; Artificial intelligence; High-definition television","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":["insufficient_payload"],"category_scores_codex":[0.0001552664,0.0001795153,0.0002013906,0.0001430297,0.00008854496,0.0001345923,0.0004221658,0.00003960606,0.00632694],"category_scores_gemma":[0.0000171497,0.000156732,0.00009066024,0.0004351752,0.00004135034,0.001416871,0.00019733,0.0000474608,0.0008938095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004792337,"about_ca_system_score_gemma":0.00002980602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002852193,"about_ca_topic_score_gemma":0.00007886334,"domain_scores_codex":[0.9983604,0.00004464417,0.000445384,0.0003967906,0.000437886,0.0003149173],"domain_scores_gemma":[0.9990091,0.0001306347,0.0001762681,0.0004134685,0.0001730379,0.00009748124],"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":[0.00009582302,0.0007543516,0.003601023,0.000103155,0.0004348219,0.00004693952,0.006780051,0.0001821605,0.09138408,0.06690472,0.6572571,0.1724558],"study_design_scores_gemma":[0.01033628,0.004917151,0.04126818,0.0002843991,0.0001704084,0.000153087,0.0003868458,0.7350729,0.133148,0.05467851,0.01650903,0.003075141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2177873,0.00008604503,0.6734239,0.01278613,0.0006439591,0.002947149,0.0002639812,0.0008882823,0.09117333],"genre_scores_gemma":[0.6998036,0.00002563141,0.2848191,0.001400514,0.0001407112,0.0001395138,0.000251021,0.00006019955,0.01335973],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7348908,"threshold_uncertainty_score":0.9998841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02348689653002309,"score_gpt":0.2658026101015448,"score_spread":0.2423157135715217,"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."}}