{"id":"W2021347102","doi":"10.1145/2661229.2661260","title":"FlexISP","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":297,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Pipeline (software); Artificial intelligence; Computer vision; Image (mathematics); Demosaicing; Noise reduction; Deconvolution; Representation (politics); Blind deconvolution; Image processing; Image restoration; Computer graphics (images); Algorithm; Color image","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":[0.0001751036,0.0001189068,0.00009768434,0.0002093146,0.000234561,0.00008897305,0.001160201,0.00006468587,0.000007320406],"category_scores_gemma":[0.00005697549,0.0001158653,0.00007090682,0.0006376856,0.00007582315,0.0005243252,0.00001363215,0.0002582099,0.00003375488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001519697,"about_ca_system_score_gemma":0.00002089382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003690049,"about_ca_topic_score_gemma":0.000004912368,"domain_scores_codex":[0.99913,0.00003953756,0.0001331083,0.0003021717,0.0001993264,0.0001958861],"domain_scores_gemma":[0.9985249,0.0001422607,0.00004276878,0.001147988,0.00007548639,0.00006661931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008859174,0.0002218737,0.00003785413,0.00002530434,0.00002044964,0.000003556844,0.0002688385,0.0001392007,0.002721181,0.1841171,0.0004859066,0.8119499],"study_design_scores_gemma":[0.0002538033,0.0002422052,0.000183507,0.00004281916,0.000010703,0.00002369349,0.000005551282,0.05248238,0.03054943,0.8839038,0.03194112,0.0003609839],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001206449,0.00002463283,0.9950278,0.002520808,0.0001593819,0.00006258455,0.000001028092,0.00111751,0.0009655937],"genre_scores_gemma":[0.3000481,0.00003790531,0.6982906,0.001479524,0.00001449581,0.00002320206,4.083331e-7,0.00001102269,0.00009478246],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8115889,"threshold_uncertainty_score":0.4724848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875585242448453,"score_gpt":0.2772893836884317,"score_spread":0.2585335312639472,"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."}}