{"id":"W4226119597","doi":"10.1109/icspis54653.2021.9729366","title":"Extending AV1 Codec to Enhance Quality in Phase Compression of Digital Holograms in Object and Hologram Planes","year":2021,"lang":"en","type":"article","venue":"","topic":"Digital Holography and Microscopy","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Holography; Codec; Compression (physics); Computer science; Phase (matter); Digital holography; Object (grammar); Materials science; Optics; Artificial intelligence; Telecommunications; Physics; Composite material","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":[0.0001141206,0.0001185829,0.0002765096,0.00009674846,0.0000201342,0.00006457487,0.00008189611,0.00003811079,0.00003003074],"category_scores_gemma":[0.00001183024,0.0001075016,0.00005319263,0.0003298011,0.00007992983,0.0002047706,0.000100405,0.0001011835,0.000003240586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004861902,"about_ca_system_score_gemma":0.00001685639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001992529,"about_ca_topic_score_gemma":0.0000719775,"domain_scores_codex":[0.9990768,0.00003983663,0.0003059875,0.0002919526,0.00006571699,0.0002197088],"domain_scores_gemma":[0.9996224,0.00007943567,0.00005988048,0.0001541909,0.00002301092,0.00006104972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000153053,0.001813138,0.6909359,0.00003649441,0.00001874234,0.00003345677,0.0004483232,0.00001351042,0.06335581,0.003175255,0.00007069359,0.2399457],"study_design_scores_gemma":[0.006023576,0.000921994,0.3397616,0.0006866477,0.00001843117,0.00001430021,0.007723478,0.00007278596,0.6269437,0.01431229,0.002417354,0.001103856],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881141,0.0001264379,0.001621231,0.00002933114,0.00004739957,0.0001320891,0.0001092328,0.00001521043,0.009805017],"genre_scores_gemma":[0.9992399,0.000004331983,0.0005034052,0.00003140722,0.00001186708,0.00001301503,0.00008406225,0.000006065887,0.0001059485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5635879,"threshold_uncertainty_score":0.4383787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714797684732072,"score_gpt":0.3696563513421973,"score_spread":0.3525083744948765,"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."}}