{"id":"W2949263932","doi":"10.1146/annurev-vision-091718-015018","title":"Methods for Assessing Quantity and Quality of Illumination","year":2019,"lang":"en","type":"review","venue":"Annual Review of Vision Science","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality (philosophy); Key (lock); Photometry (optics); Artificial intelligence; Computer vision; Computer security; Physics","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":[0.006830566,0.0001422058,0.001172647,0.000118288,0.000125306,0.00003899774,0.0005323401,0.00003323313,0.0000225295],"category_scores_gemma":[0.0004371847,0.000101116,0.0002884624,0.001109994,0.0004660593,0.0005461471,0.0001835281,0.00008153547,0.000003785508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001590115,"about_ca_system_score_gemma":0.0004731657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003154809,"about_ca_topic_score_gemma":2.760785e-7,"domain_scores_codex":[0.9981142,0.0001717119,0.0008336133,0.000415337,0.0003140444,0.0001511036],"domain_scores_gemma":[0.9968778,0.000841937,0.001196866,0.0004320834,0.0005948638,0.00005645609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[1.492764e-7,0.00002536425,0.00001060063,0.0272595,0.000003056629,1.491944e-9,0.00001750709,2.749779e-8,0.00003706254,0.01886754,0.00003297694,0.9537462],"study_design_scores_gemma":[0.0000457179,0.00004504304,0.000174113,0.03808552,0.0001656817,2.384655e-7,0.00008828394,0.00003792921,0.00004646309,0.0003519376,0.9607956,0.0001634846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000214664,0.9546811,0.04342719,0.00002575387,0.00009874604,0.0009537473,0.0001027511,0.000003186541,0.0006860356],"genre_scores_gemma":[0.0001620619,0.976393,0.023283,0.00001761246,0.00002710062,0.0000559393,0.0000166556,0.000005074238,0.00003952864],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9607626,"threshold_uncertainty_score":0.4123391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1663274792416292,"score_gpt":0.6095504207762733,"score_spread":0.4432229415346441,"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."}}