{"id":"W2060592567","doi":"10.1002/col.10050","title":"Camera characterization for color research","year":2002,"lang":"en","type":"article","venue":"Color Research & Application","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Linearization; Characterization (materials science); Computer science; Digital camera; Artificial intelligence; Computer vision; Camera auto-calibration; Single camera; Computer graphics (images); Camera resectioning; Optics; Physics; Nonlinear system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002025887,0.0001186892,0.0001476976,0.0002811587,0.001297362,0.0002185639,0.0006328276,0.00005385785,0.0004264556],"category_scores_gemma":[0.00007234127,0.0001189344,0.00006806774,0.001734968,0.000335247,0.0002683074,0.0001502645,0.0003866872,0.001306141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001411397,"about_ca_system_score_gemma":0.00009195269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001233655,"about_ca_topic_score_gemma":0.00001157235,"domain_scores_codex":[0.9975319,0.0001556738,0.0002733406,0.0006088936,0.0006933551,0.0007368204],"domain_scores_gemma":[0.9975244,0.0005150692,0.00007714149,0.000622001,0.001073362,0.0001879984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005637397,0.0008150307,0.001884026,0.00003250239,0.00002431991,2.622446e-7,0.000765689,0.0001202826,0.3967294,0.2143134,0.0249086,0.3603501],"study_design_scores_gemma":[0.0006295213,0.0003215461,0.008961509,0.00001661423,0.000009728457,6.193264e-7,0.0005847331,0.2224279,0.01907696,0.01414259,0.7335424,0.0002858049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412848,0.00002432618,0.03213701,0.007909193,0.0000476555,0.005200111,0.0001480005,0.00008731908,0.01316152],"genre_scores_gemma":[0.9807522,0.00001915325,0.0005425232,0.00004716834,0.0005461768,0.01259254,0.0002817267,0.00002437621,0.005194126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7086338,"threshold_uncertainty_score":0.9994715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1980345806904143,"score_gpt":0.4564733206090277,"score_spread":0.2584387399186134,"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."}}