{"id":"W4236827786","doi":"10.21275/v5i3.nov162307","title":"Literature Survey on Image Deblurring Techniques","year":2016,"lang":"en","type":"article","venue":"International Journal of Science and Research (IJSR)","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Deblurring; Image (mathematics); Computer science; Computer vision; Artificial intelligence; Image processing; Image restoration","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":[0.007808219,0.00009208472,0.0001116324,0.001234679,0.0002528336,0.001001822,0.003109854,0.00004014927,0.000004478286],"category_scores_gemma":[0.004103563,0.00005204612,0.00003209274,0.00100882,0.001357878,0.003810227,0.0007143821,0.0003816388,0.000006358306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002285371,"about_ca_system_score_gemma":0.0004518798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009286413,"about_ca_topic_score_gemma":0.000001148779,"domain_scores_codex":[0.99646,0.0001282641,0.0002715842,0.0002963635,0.002517766,0.0003259954],"domain_scores_gemma":[0.9924729,0.0004556949,0.0001575715,0.0002337264,0.006512894,0.000167158],"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":[0.00006082409,0.00007965612,0.001405132,0.00000550946,0.0000106309,0.0002289645,0.000370686,1.949429e-7,0.528507,0.00787565,0.002934601,0.4585212],"study_design_scores_gemma":[0.0005204409,0.0006933662,0.02572327,0.002342741,0.000001339874,0.0007223834,0.00004366864,0.0009265224,0.8617102,0.09772764,0.009282377,0.0003060625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05919241,0.000614691,0.9137297,0.0221029,0.000833263,0.000186687,0.00001511128,0.0001579575,0.00316724],"genre_scores_gemma":[0.7614133,0.0007474817,0.2371059,0.0002746577,0.000206557,0.000003689971,1.980105e-7,0.000007410801,0.0002408196],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7022209,"threshold_uncertainty_score":0.9660595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0548542270983669,"score_gpt":0.4342673780056916,"score_spread":0.3794131509073247,"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."}}