{"id":"W2912998632","doi":"10.82308/24264","title":"Spectral models for color vision","year":2009,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Spectral line; Reflectivity; Spectral color; RGB color model; Surface (topology); Wavelength; Entropy (arrow of time); Optics; Mathematics; Color model; Color space; Artificial intelligence; Computer science; Physics; Geometry; Image (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001058392,0.001465731,0.0009893238,0.002013883,0.0006758544,0.002783878,0.001822703,0.001603688,0.008663176],"category_scores_gemma":[0.002974739,0.0005935229,0.002053748,0.002167225,0.001486283,0.002937085,0.001584853,0.002866715,0.003832371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632837,"about_ca_system_score_gemma":0.0008241333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005935198,"about_ca_topic_score_gemma":0.00341554,"domain_scores_codex":[0.9991041,0.0002840027,0.0000382883,0.0002008032,0.0003033752,0.00006955659],"domain_scores_gemma":[0.9991168,0.0003578257,0.00006981613,0.0002044533,0.000214441,0.00003667576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005642945,0.00004577128,0.0004863231,0.0002883345,0.0001191822,0.0000870067,0.0001881728,0.1459419,0.003635444,0.6189489,0.0141469,0.2160557],"study_design_scores_gemma":[0.000007929305,0.00002736893,0.0003516247,0.00007795203,0.00002244083,0.0001475661,0.00005374939,0.5159858,0.001169638,0.4384746,0.04363736,0.00004401321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001423431,0.003616746,0.9849481,0.0004995638,0.0003346707,0.00003329537,0.0002221152,0.0006934797,0.008228544],"genre_scores_gemma":[0.2790803,0.01459766,0.6678891,0.001040928,0.001834482,0.0003755777,0.001862967,0.001271892,0.03204712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008663176,"threshold_uncertainty_score":0.02898121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842593768464383,"score_gpt":0.2660818180501737,"score_spread":0.2476558803655299,"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."}}