{"id":"W2141679432","doi":"10.1109/glocom.1993.318223","title":"Image and video reconstruction using fuzzy logic","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"JPEG; Computer science; Fuzzy logic; Coding (social sciences); Computer vision; Block (permutation group theory); Artificial intelligence; Transform coding; Data compression; Image (mathematics); Discrete cosine transform; Mathematics","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":[0.00007180463,0.00007248735,0.00007082758,0.0000651077,0.00009874356,0.0001547411,0.0001915122,0.00002860851,0.00002932742],"category_scores_gemma":[0.00003727855,0.00006435697,0.0000127628,0.000175576,0.00007684037,0.001404232,0.0001371395,0.00006469047,0.00001294686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002298793,"about_ca_system_score_gemma":0.000004680995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005066062,"about_ca_topic_score_gemma":4.340481e-7,"domain_scores_codex":[0.999442,0.00001472342,0.0001020875,0.000240186,0.00007018355,0.000130786],"domain_scores_gemma":[0.999638,0.00001666042,0.0000471201,0.0002133661,0.0000489683,0.00003586022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.496382e-7,0.00002354571,0.0002455127,0.0000210564,0.000003500476,0.00001437755,0.0001609578,0.000001964369,0.1315229,0.01801486,0.0005697901,0.8494206],"study_design_scores_gemma":[0.0001106332,0.00003158561,0.00006067778,0.00002539883,0.000002626372,0.0005726719,0.00001356707,0.7650017,0.01508983,0.2185844,0.0003151436,0.0001917157],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001729496,0.0002404774,0.9850879,0.0004173371,0.00006025075,0.00004671507,1.154654e-7,0.0005794802,0.01183822],"genre_scores_gemma":[0.03196654,0.00004070355,0.9675648,0.0002553065,0.00001903879,0.00000202615,4.560732e-8,0.000004341517,0.000147259],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8492289,"threshold_uncertainty_score":0.2624401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0362646714623098,"score_gpt":0.2799007238267264,"score_spread":0.2436360523644166,"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."}}