{"id":"W1993585959","doi":"10.1109/mmsp.2010.5662061","title":"Video super-resolution for dual-mode digital cameras via scene-matched learning","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Subpixel rendering; Interpolation (computer graphics); Image resolution; Pixel; Image (mathematics)","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":[0.0007604474,0.0004138105,0.0005586772,0.0005156605,0.0001896443,0.0004298695,0.000850864,0.0005031106,0.001217058],"category_scores_gemma":[0.001750545,0.0003876444,0.0005594341,0.0005934595,0.0003834793,0.00100671,0.0008899973,0.001037816,0.000561326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003999574,"about_ca_system_score_gemma":0.000391857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001367699,"about_ca_topic_score_gemma":0.002024202,"domain_scores_codex":[0.9995956,0.00008861669,0.00001444451,0.00008385228,0.0001856537,0.00003186367],"domain_scores_gemma":[0.9994482,0.0002205608,0.00007770285,0.0001468287,0.00007784021,0.00002889334],"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":[0.0002986142,0.0001393016,0.001224549,0.0001870968,0.00009666205,0.0002265382,0.0001575768,0.2056819,0.1321152,0.01386483,0.003203182,0.6428044],"study_design_scores_gemma":[0.000006792877,0.00003274079,0.0003241252,0.000004077555,0.00001031205,0.0001271219,0.000008758302,0.9805697,0.01479864,0.00272662,0.001382494,0.000008626448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009343503,0.0001361639,0.9896147,0.00006729535,0.00001206551,0.00001131498,0.00002378677,0.000347386,0.0004438047],"genre_scores_gemma":[0.1837101,0.0003237626,0.8142596,0.0000868037,0.00004044203,0.00003517121,0.0001398772,0.00008009462,0.001324261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001367699,"threshold_uncertainty_score":0.004071474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009388512861112652,"score_gpt":0.2823785736545202,"score_spread":0.2729900607934075,"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."}}