{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007170592,0.0002021683,0.0001728151,0.00006547057,0.00007777025,0.0001536463,0.0002203295,0.0001949343,0.0001841469],"category_scores_gemma":[0.00003448634,0.0002199958,0.00008567597,0.0001148423,0.00002984639,0.00006403682,0.0001682954,0.0007271323,0.00009239078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009718345,"about_ca_system_score_gemma":0.00002191415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001754141,"about_ca_topic_score_gemma":0.000003250715,"domain_scores_codex":[0.9991976,0.00001548683,0.0002002929,0.0002790247,0.0001140813,0.0001934963],"domain_scores_gemma":[0.9995584,0.00001954073,0.00003126291,0.0002661748,0.00006175812,0.00006289636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001383528,0.000144879,0.00006006759,0.002532981,0.00007906501,0.0000203945,0.0004823827,0.6145307,0.2965914,0.001280643,0.03556136,0.04870234],"study_design_scores_gemma":[0.00005617408,0.00001066734,0.0000237166,0.00006513048,0.000019787,9.128373e-7,0.00001374658,0.9492215,0.03099547,0.001655116,0.01767123,0.0002665226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002872241,0.0002685711,0.9636429,0.0006630041,0.00006921118,0.0001872443,0.000004043178,0.003868961,0.03100887],"genre_scores_gemma":[0.5915382,0.0000358209,0.4075234,0.0001248637,0.0001434313,0.0001479641,0.0001786119,0.00008532102,0.0002223605],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.591251,"threshold_uncertainty_score":0.8971167,"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."}}