{"id":"W2055949477","doi":"10.1109/dft.2014.6962103","title":"Improved correction for hot pixels in digital imagers","year":2014,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pixel; Computer vision; Artificial intelligence; Digital camera; Computer science; Interpolation (computer graphics); Digital image; Frame (networking); Image (mathematics); Image processing","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":[0.00003914785,0.00005997619,0.00006511119,0.00004109641,0.00001111072,0.00004442846,0.00003243769,0.00002131267,0.00001281238],"category_scores_gemma":[0.00004366327,0.00005794727,0.00002807394,0.00005471436,0.00000819853,0.000133145,0.000003945636,0.00004348301,0.00001524435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002399219,"about_ca_system_score_gemma":0.000002044103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001717026,"about_ca_topic_score_gemma":0.00002143085,"domain_scores_codex":[0.9996898,0.000001335713,0.00007899302,0.00007490147,0.00002599288,0.0001289987],"domain_scores_gemma":[0.9998493,0.00004157203,0.000005526588,0.00006998251,0.00001113121,0.00002247833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006914631,0.00007872217,0.004020168,0.0001357682,0.00004059938,0.000001500198,0.0006838563,0.02223749,0.166967,0.000691968,0.04939292,0.7556808],"study_design_scores_gemma":[0.0004647296,0.00002931876,0.001004018,0.00000909099,0.000002800045,0.000002479537,0.00008749901,0.9637297,0.02030526,0.0002091234,0.01399658,0.0001594496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.67362,0.00001871689,0.2542163,0.00008498281,0.002196801,0.0002867536,0.000006343029,0.0008282744,0.06874182],"genre_scores_gemma":[0.9974579,0.00000111155,0.0005269699,0.00003548277,0.00007873755,0.000009551435,0.000005240937,0.00001640378,0.001868562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9414922,"threshold_uncertainty_score":0.2363021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003708094564189144,"score_gpt":0.1864973091053884,"score_spread":0.1827892145411993,"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."}}