{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000772083,0.001912347,0.0008607354,0.001525792,0.001221225,0.003085117,0.003091258,0.00193385,0.2558202],"category_scores_gemma":[0.001985014,0.0008368631,0.0008041039,0.001270973,0.0005416289,0.003791828,0.003628588,0.001807711,0.2114142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008648686,"about_ca_system_score_gemma":0.001220724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587704,"about_ca_topic_score_gemma":0.002700693,"domain_scores_codex":[0.9991906,0.00007102369,0.00004992311,0.0002026065,0.0003435679,0.0001422601],"domain_scores_gemma":[0.9989097,0.0001336371,0.00004361803,0.0004513011,0.0003386255,0.0001231322],"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":[0.0008636249,0.0001622115,0.0009400522,0.0005423016,0.00005930709,0.0004481611,0.0002524163,0.002874336,0.01957785,0.02730878,0.521516,0.425455],"study_design_scores_gemma":[0.0001068559,0.0001024266,0.0006893494,0.00007595136,0.00002462382,0.0005024051,0.00008222629,0.01822232,0.0190839,0.01304124,0.948007,0.00006157407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00656282,0.001680701,0.2975427,0.001345336,0.001369629,0.0006012009,0.0161734,0.2826373,0.3920869],"genre_scores_gemma":[0.1089236,0.002274458,0.2155966,0.003290334,0.0008266957,0.001203657,0.07448541,0.04827769,0.5451216],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2558202,"threshold_uncertainty_score":0,"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."}}