{"id":"W1775416118","doi":"10.1109/dcc.2003.1194045","title":"Image foveation based on vector quantization","year":2003,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Vector quantization; Computer vision; Artificial intelligence; Quantization (signal processing); Fixation (population genetics); Computer science; Retransmission; Mathematics; Pattern recognition (psychology); Transmission (telecommunications)","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":[],"consensus_categories":[],"category_scores_codex":[0.00004261921,0.00004858117,0.00003256678,0.00003479721,0.00003397794,0.00002859623,0.00003006767,0.00002378193,0.0001239104],"category_scores_gemma":[0.00001662586,0.00004654725,0.00001311522,0.0001187543,0.00000595969,0.00005897046,0.000001034174,0.00003371287,0.00005389516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001998026,"about_ca_system_score_gemma":0.000005749549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001162532,"about_ca_topic_score_gemma":4.980494e-7,"domain_scores_codex":[0.9997603,0.000004793627,0.00006140755,0.00006111562,0.00004779026,0.00006455424],"domain_scores_gemma":[0.9998415,0.00001076766,0.000007449744,0.0001027854,0.0000226428,0.00001484741],"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":[0.000008769482,0.0002620133,0.000476467,0.000256341,0.00001461934,0.000001991715,0.0001058332,0.03847378,0.4931908,0.3890851,0.04963542,0.02848881],"study_design_scores_gemma":[0.00009176294,0.00001265283,0.0002374537,0.00001020363,0.000003183416,3.91233e-7,0.000003948853,0.7846682,0.2030854,0.001195809,0.01059099,0.00009999373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000989947,0.000007720545,0.9073816,0.00007760364,0.00002439853,0.00007253553,9.874491e-7,0.000668092,0.09077709],"genre_scores_gemma":[0.8570836,0.000002780077,0.1426374,0.00008955158,0.000009487287,0.00002994192,0.00000972941,0.00001374022,0.00012378],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8560936,"threshold_uncertainty_score":0.1898142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009264051385389514,"score_gpt":0.2407239305476912,"score_spread":0.2314598791623017,"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."}}