{"id":"W2041958676","doi":"10.1117/12.730798","title":"Random rounding in redundant representations","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dither; Mathematics; Rounding; Quantization (signal processing); Round-off error; Hilbert space; Bounded function; Algorithm; Applied mathematics; Mathematical analysis; Computer science; Noise shaping","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":[0.001213418,0.0002953384,0.0005650885,0.0003694494,0.0003287952,0.0007924594,0.0003799546,0.0004783388,0.0009840998],"category_scores_gemma":[0.00783377,0.0002001478,0.0001924949,0.0003802516,0.0007676621,0.0009155353,0.0007181786,0.0004865707,0.0002078262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003607738,"about_ca_system_score_gemma":0.0003296046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005894307,"about_ca_topic_score_gemma":0.0005726948,"domain_scores_codex":[0.9991047,0.0002285128,0.00003932225,0.0001054812,0.000411788,0.0001102641],"domain_scores_gemma":[0.9974883,0.001457927,0.0002436835,0.0005180354,0.0002302342,0.00006196527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001253675,0.0001105864,0.001822964,0.0001288747,0.00004830169,0.0002945877,0.0001828898,0.7511225,0.03827067,0.05161879,0.0007952446,0.1543509],"study_design_scores_gemma":[0.00002637968,0.0002401326,0.0005584083,0.0000183897,0.00001325775,0.0001374634,0.00004052717,0.9653761,0.02447763,0.008526103,0.0005646747,0.00002099082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6178399,0.0007683284,0.3764263,0.0001604316,0.00007937094,0.00002475726,0.00004580195,0.0005900027,0.00406509],"genre_scores_gemma":[0.9632025,0.0001308987,0.03568805,0.0000381475,0.00001525197,0.00001008201,0.00003899625,0.00002360006,0.0008523627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001213418,"threshold_uncertainty_score":0.006417215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766763029141584,"score_gpt":0.2951499597452369,"score_spread":0.2774823294538211,"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."}}