{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000706605,0.0001327658,0.0001185981,0.00005638,0.00002779694,0.0001070519,0.000941655,0.0001004476,0.0006352687],"category_scores_gemma":[0.000008818998,0.0001082474,0.0001169281,0.00003673258,0.0000110674,0.0002966023,0.00193284,0.0003000647,0.001828376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002944657,"about_ca_system_score_gemma":0.00003611686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003345588,"about_ca_topic_score_gemma":9.270699e-7,"domain_scores_codex":[0.999258,0.00002709512,0.0001019193,0.0002774976,0.0001189899,0.0002164849],"domain_scores_gemma":[0.9991425,0.00002768254,0.00005767868,0.0006328824,0.00008082014,0.00005849652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007753649,0.0002518049,0.001111716,0.00009499731,0.0002161213,0.00002380736,0.003011191,0.00003422926,0.01484168,0.594062,0.3769107,0.009433935],"study_design_scores_gemma":[0.0007551958,0.000134585,0.09529337,0.0003672758,0.0001006006,0.00008745335,0.0002184718,0.02850639,0.3838806,0.05979697,0.4270068,0.003852208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008582981,0.00009806111,0.7231352,0.0006689323,0.00237663,0.00008320078,0.000003266006,0.00002988101,0.2727466],"genre_scores_gemma":[0.9687559,0.000009939237,0.01883527,0.002760188,0.0003202467,0.00002384478,0.00001635295,0.000009356639,0.009268873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9678977,"threshold_uncertainty_score":0.9989488,"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."}}