{"id":"W3014632625","doi":"10.36227/techrxiv.12059178.v1","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":"Artificial intelligence; Image (mathematics); Resolution (logic); Computer science; Deep learning; 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":[0.0006068795,0.001017182,0.001440889,0.0005924459,0.0003017226,0.001402615,0.001231416,0.001225021,0.004191136],"category_scores_gemma":[0.001723201,0.0006224179,0.0008034556,0.0009524989,0.0008564313,0.00302416,0.002018569,0.002815843,0.001531438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005677051,"about_ca_system_score_gemma":0.0005681585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009771683,"about_ca_topic_score_gemma":0.001342933,"domain_scores_codex":[0.9996069,0.00006216722,0.00001696827,0.0001153965,0.0001380066,0.00006060759],"domain_scores_gemma":[0.9995391,0.0001609304,0.00005095806,0.0001192906,0.00008286698,0.00004685987],"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":[0.0003389771,0.0001502149,0.0007186225,0.0008755687,0.0003115589,0.0006150662,0.0002280555,0.2000549,0.1202457,0.1727435,0.01661501,0.4871028],"study_design_scores_gemma":[0.000009758944,0.00004680029,0.0002503142,0.00003992682,0.00003553536,0.000440775,0.00002622563,0.9021931,0.03161322,0.05431874,0.01099894,0.00002662197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005291883,0.001193692,0.9890822,0.0004212483,0.0001395521,0.0000215199,0.0001280439,0.0004714989,0.003250328],"genre_scores_gemma":[0.1906523,0.003573263,0.7843851,0.0008120537,0.0003888458,0.00007853879,0.0005751967,0.0004160671,0.01911869],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004191136,"threshold_uncertainty_score":0.01402074,"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."}}