{"id":"W4246470486","doi":"10.36227/techrxiv.12059178","title":"Deep Learning Based Single Image Super Resolution","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Deep learning; Image (mathematics); Resolution (logic); Artificial intelligence; Computer science; Superresolution; Computer vision","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":[0.0005677284,0.0008621119,0.001304484,0.0005367702,0.0002717022,0.001286767,0.001134292,0.001107497,0.004048079],"category_scores_gemma":[0.001555743,0.0006181608,0.0007573485,0.0009188128,0.0008170354,0.002738517,0.001916199,0.00254542,0.001472886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005884733,"about_ca_system_score_gemma":0.0005405234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001251406,"about_ca_topic_score_gemma":0.00163321,"domain_scores_codex":[0.9996605,0.00005271433,0.00001444103,0.0001038499,0.0001095672,0.00005907143],"domain_scores_gemma":[0.999602,0.0001338854,0.00004453891,0.000104098,0.00007265374,0.00004276946],"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":[0.0003054501,0.0001352439,0.0006623425,0.0006396,0.0002905478,0.0004545905,0.000188834,0.2267887,0.1148512,0.1367268,0.01529377,0.5036629],"study_design_scores_gemma":[0.000007919965,0.00003846072,0.0002291717,0.00002712434,0.00002813318,0.0002735029,0.00001785176,0.9282761,0.02483158,0.03856987,0.007679761,0.0000205519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007113148,0.00125411,0.9868032,0.0005035295,0.0001413921,0.00002097851,0.0001496832,0.0005612609,0.003452712],"genre_scores_gemma":[0.2455605,0.00350432,0.7262437,0.0008438358,0.0003827893,0.00007419855,0.0006207544,0.0004441987,0.02232579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004048079,"threshold_uncertainty_score":0.01354218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048055729118666,"score_gpt":0.2451849823322789,"score_spread":0.2247044250410922,"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."}}