{"id":"W2538047945","doi":"10.1109/tic-sth.2009.5444442","title":"Image processing for colour blindness correction","year":2009,"lang":"en","type":"article","venue":"","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Blindness; Computer vision; Artificial intelligence; Colour Vision; Filter (signal processing); Computer science; Optometry; Mathematics; Medicine","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":[0.00004053713,0.00003361823,0.00003689449,0.0000145844,0.0001480361,0.00005512153,0.00005534762,0.000007490554,0.0000922137],"category_scores_gemma":[0.000001335623,0.00002870211,0.0000243342,0.0001221366,0.00001033541,0.0001222432,0.000003675142,0.00002173639,0.00001687143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005032587,"about_ca_system_score_gemma":0.00003018627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001011996,"about_ca_topic_score_gemma":0.000001627077,"domain_scores_codex":[0.999731,0.000001528348,0.00005482518,0.00009264683,0.00003236822,0.00008761946],"domain_scores_gemma":[0.999843,0.00001002742,0.00002362695,0.00005171905,0.00004886157,0.0000227906],"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":[0.000009026004,0.0002523636,0.001142309,0.000002109855,0.000002350425,3.329676e-8,0.0001797446,0.0000330849,0.01734833,0.02995086,0.01549746,0.9355823],"study_design_scores_gemma":[0.002220722,0.000653042,0.03622706,0.00004123305,0.00007278586,0.000002402479,0.005852086,0.4962973,0.1242164,0.1525393,0.18092,0.0009576887],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1476123,0.000003159697,0.7608434,0.001839165,0.0001233496,0.0003655459,0.000003951066,0.00006168396,0.08914749],"genre_scores_gemma":[0.9922127,5.719981e-8,0.004189504,0.00009597879,0.0001225899,0.00004992999,0.000006822334,0.000001644936,0.003320771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9346246,"threshold_uncertainty_score":0.1170438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01306577492239763,"score_gpt":0.3050952618670045,"score_spread":0.2920294869446068,"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."}}