{"id":"W4221079221","doi":"10.1364/josaa.446785","title":"Analyzing color imaging failure on consumer-grade cameras","year":2022,"lang":"en","type":"article","venue":"Journal of the Optical Society of America A","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Computer vision; Artificial intelligence; Computer science; Computer graphics (images); Remote sensing; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001924595,0.00006855411,0.0001737054,0.00001641157,0.0003509119,0.00002212167,0.0003904379,0.000006994218,0.0002666012],"category_scores_gemma":[0.000008514856,0.00004750617,0.0004461796,0.0003883275,0.0002441132,0.0000553253,0.0001095165,0.0003661055,0.000002939094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004837526,"about_ca_system_score_gemma":0.0001010081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004069387,"about_ca_topic_score_gemma":1.086347e-7,"domain_scores_codex":[0.999186,0.00003690372,0.0002438832,0.00008773765,0.0002970677,0.000148401],"domain_scores_gemma":[0.9992366,0.0001401033,0.0003548985,0.0001445871,0.00006011368,0.00006373494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001564205,0.003880478,0.1602482,0.00003300352,0.001432721,0.000005510926,0.00854509,0.05213017,0.1918447,0.03142998,0.3722249,0.1780688],"study_design_scores_gemma":[0.003477519,0.001367741,0.02837305,0.0001510098,0.0008524066,0.00008495867,0.09802048,0.06721976,0.02285401,0.01406239,0.7624783,0.001058383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258804,0.00009350614,0.008747724,0.06259578,0.0001780426,0.0001919484,0.00003027775,0.000007905683,0.002274449],"genre_scores_gemma":[0.9937381,0.000003719669,0.005510896,0.0005778061,0.00008192464,0.000006403135,5.335694e-7,0.000004970207,0.00007568377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3902534,"threshold_uncertainty_score":0.2919097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007749960951127077,"score_gpt":0.2552486607438108,"score_spread":0.2474986997926837,"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."}}