{"id":"W1657867270","doi":"10.1109/mwscas.1993.343263","title":"Image zooming by improved interpolation scheme using FFT","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Interpolation (computer graphics); Scheme (mathematics); Fast Fourier transform; Zoom; Computer science; Block (permutation group theory); Enhanced Data Rates for GSM Evolution; Image (mathematics); Artificial intelligence; Computer vision; Algorithm; Computer graphics (images); Mathematics; Engineering; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003485028,0.0005393943,0.0004424702,0.0007184487,0.0002401022,0.0003728639,0.0006769951,0.0004561826,0.005387671],"category_scores_gemma":[0.00102066,0.0002621086,0.0003457923,0.0005800936,0.0002067962,0.001080744,0.000497937,0.0005255739,0.001235178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002410712,"about_ca_system_score_gemma":0.0002723778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032504,"about_ca_topic_score_gemma":0.001624918,"domain_scores_codex":[0.9997947,0.00003511172,0.00001304664,0.00003571584,0.0001042359,0.0000172256],"domain_scores_gemma":[0.9996617,0.0001018806,0.00003372939,0.00009194508,0.00009217292,0.00001864015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003897476,0.00007449555,0.0004639054,0.0002550232,0.00003572035,0.0001746781,0.0002144458,0.02151387,0.3823342,0.007463383,0.002252779,0.5848278],"study_design_scores_gemma":[0.00007773072,0.0002969007,0.00157285,0.00003495358,0.00003318887,0.0008762738,0.00004704878,0.7345949,0.2374062,0.003272297,0.02170519,0.00008238573],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01561266,0.00022821,0.9815362,0.00006047345,0.00006687688,0.00004027248,0.00004549521,0.001357564,0.001052134],"genre_scores_gemma":[0.06730936,0.0002644088,0.9300063,0.00003410434,0.00004020114,0.00003858389,0.0001221157,0.0001221011,0.002062989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005387671,"threshold_uncertainty_score":0.01802355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117646583016412,"score_gpt":0.2785999845419584,"score_spread":0.2574235187117943,"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."}}