{"id":"W2027222744","doi":"10.1145/2207676.2208639","title":"1 € filter","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":392,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Low-pass filter; Filter (signal processing); Jitter; Cutoff frequency; Adaptive filter; Computer science; Filter design; High-pass filter; Control theory (sociology); Root-raised-cosine filter; Lag; Kernel adaptive filter; SIGNAL (programming language); Reduction (mathematics); Voltage-controlled filter; Cutoff; Algorithm; Mathematics; Engineering; Artificial intelligence; Physics; Telecommunications; Computer vision; Electrical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005811664,0.001054418,0.0007679731,0.001083699,0.0007892197,0.00231485,0.001138914,0.002101276,0.1194542],"category_scores_gemma":[0.003448278,0.0004679789,0.0006844733,0.0009058538,0.0003241471,0.001240446,0.001184791,0.0009589014,0.06373797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005576786,"about_ca_system_score_gemma":0.0007267891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522915,"about_ca_topic_score_gemma":0.0009404147,"domain_scores_codex":[0.9991218,0.00008328491,0.00005144342,0.0002094881,0.0004207141,0.0001132592],"domain_scores_gemma":[0.9986944,0.0002335189,0.00006714706,0.0002291947,0.0007248366,0.0000510356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009361782,0.00007242875,0.0008626613,0.0004579856,0.00005086691,0.0002758938,0.0001419883,0.004472866,0.05504817,0.01717203,0.1483535,0.7721554],"study_design_scores_gemma":[0.0001543937,0.0002598048,0.002931537,0.0001401492,0.00008381251,0.001097456,0.000113886,0.07845511,0.1295312,0.012832,0.7742141,0.0001865433],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008582576,0.0006520572,0.911077,0.0005138013,0.001337297,0.0003623721,0.002354,0.02688614,0.04823469],"genre_scores_gemma":[0.1454682,0.001122707,0.609512,0.002744939,0.0008566999,0.0007844706,0.01002852,0.008876862,0.2206056],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1194542,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209200670214642,"score_gpt":0.281480656247418,"score_spread":0.2493886495452715,"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."}}