{"id":"W2136673846","doi":"10.1016/j.dam.2002.11.006","title":"On the distance function approach to color image enhancement","year":2003,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Image (mathematics); Function (biology); Computer vision; Artificial intelligence; Combinatorics; Computer science","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":[0.0008481644,0.0001844823,0.0001902029,0.00004407591,0.0002222254,0.0002406972,0.0005791424,0.00003858809,0.0000261418],"category_scores_gemma":[0.00009841655,0.0001182929,0.00005770001,0.000368129,0.00004357575,0.00009656607,0.00008806335,0.0001337561,0.0002763494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004314944,"about_ca_system_score_gemma":0.00002441403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.208366e-7,"about_ca_topic_score_gemma":1.686849e-7,"domain_scores_codex":[0.9986703,0.0000592915,0.0002450336,0.0003445092,0.0003875917,0.0002932374],"domain_scores_gemma":[0.9986836,0.0002843761,0.00009513726,0.0008178845,0.00004254519,0.00007648674],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001224395,0.0001107524,5.646128e-8,0.00002830001,0.0000118816,7.443858e-7,0.0009583709,0.00006318387,0.01955835,0.9758494,0.002429377,0.0009773035],"study_design_scores_gemma":[0.0008545015,0.0002447769,0.00001035399,0.00006358136,0.00004630278,0.000008876576,0.00080998,0.03128732,0.1883962,0.7603135,0.01726819,0.000696409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001125884,0.00001031261,0.7886706,0.0001981134,0.00009469101,0.0004564479,0.000001038254,0.00006364629,0.2093792],"genre_scores_gemma":[0.1609731,0.000002320428,0.8361465,0.001457648,0.00002455116,0.0002438683,0.000002054112,0.00001939686,0.001130586],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2155359,"threshold_uncertainty_score":0.4823844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165532285392605,"score_gpt":0.2566895215961268,"score_spread":0.2350341987422007,"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."}}