{"id":"W2135194414","doi":"10.1109/isspa.2010.5605447","title":"Single input image super resolution with alias detection","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Alias; Computer science; Interpolation (computer graphics); Sampling (signal processing); Measure (data warehouse); Sample (material); Electronics; Process (computing); Resolution (logic); Image resolution; Image (mathematics); Artificial intelligence; Electronic engineering; Computer vision; Data mining; Engineering; Electrical engineering","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":[0.0001366441,0.0001016834,0.00007162986,0.00008473035,0.000126099,0.0001955882,0.0003920048,0.0000541496,0.0000150097],"category_scores_gemma":[0.00005960631,0.00007956282,0.00001751263,0.0003011222,0.00008940622,0.001712565,0.0001286008,0.0002047672,0.00003033821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002954318,"about_ca_system_score_gemma":0.00002818669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000301073,"about_ca_topic_score_gemma":0.0001279913,"domain_scores_codex":[0.9992055,0.00001594811,0.0001059261,0.0003039915,0.0001713462,0.0001973209],"domain_scores_gemma":[0.9992573,0.00002017834,0.00004576554,0.0004700766,0.0001561609,0.00005051005],"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":[0.00000487454,0.00003292893,0.00004309088,0.000004360443,0.000001387028,0.000004061149,0.00006006639,7.14556e-7,0.9490774,0.001923993,0.0001895832,0.04865754],"study_design_scores_gemma":[0.0001341841,0.0001583519,0.0002715967,0.000009050465,0.000002500268,0.00008863235,0.000006143674,0.03350863,0.9509563,0.009272237,0.00540824,0.0001840926],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01003399,0.000008364784,0.9811318,0.0004832545,0.0001172966,0.00008595036,1.801328e-7,0.001293792,0.00684541],"genre_scores_gemma":[0.3739472,6.497891e-7,0.6255846,0.0001253673,0.00002929414,0.00001001906,3.474437e-7,0.000007432605,0.0002950827],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3639132,"threshold_uncertainty_score":0.3244478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009418140029808463,"score_gpt":0.2411750361396676,"score_spread":0.2317568961098591,"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."}}