{"id":"W3126300220","doi":"10.3390/s21041053","title":"A Color Restoration Algorithm for Diffractive Optical Images of Membrane Camera","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; York University","keywords":"Chromatic aberration; Robustness (evolution); Computer science; Chromatic scale; Artificial intelligence; Image restoration; Computer vision; Optics; Algorithm; Image processing; Image (mathematics); Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004390186,0.00004657846,0.00008975896,0.00001555447,0.00006646223,0.00001614809,0.00004405313,0.00001452558,0.00006714192],"category_scores_gemma":[0.00001144208,0.00004433876,0.00005320251,0.0001318227,0.00005047918,0.00005429422,0.00001478903,0.00003764205,0.000009542964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008591788,"about_ca_system_score_gemma":0.00006136407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003493365,"about_ca_topic_score_gemma":0.000003331986,"domain_scores_codex":[0.999594,0.00001088248,0.0000977077,0.0001322055,0.0000705748,0.00009457093],"domain_scores_gemma":[0.9995676,0.000108721,0.0000464076,0.0001115562,0.0001338598,0.00003186776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003581593,0.0007942813,0.001139203,0.00002101049,0.000119505,0.000003735078,0.00130303,0.001493662,0.5345635,0.1000369,0.002030646,0.3584587],"study_design_scores_gemma":[0.0005161437,0.00007484423,0.003354689,0.00001013959,0.00004666937,0.000001228546,0.002983067,0.0374749,0.9431353,0.003102874,0.009144046,0.0001560872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614293,0.000007919468,0.03328262,0.0009059194,0.00005272214,0.0002080475,0.000119822,0.000009784049,0.003983859],"genre_scores_gemma":[0.9793009,0.00000128993,0.01931639,0.00002133466,0.0001116161,0.00005499411,0.00004078984,0.000004696432,0.001148001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4085718,"threshold_uncertainty_score":0.1808082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135717073626201,"score_gpt":0.2808986086304018,"score_spread":0.2695414378941398,"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."}}