{"id":"W4391344378","doi":"10.1016/j.jvcir.2024.104072","title":"Low-complexity ℓ∞-compression of light field images with a deep-decompression stage","year":2024,"lang":"lv","type":"article","venue":"Journal of Visual Communication and Image Representation","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China; H2020 Marie Skłodowska-Curie Actions; Innovative Research Group Project of the National Natural Science Foundation of China; Innovationsfonden","keywords":"Scalable Vector Graphics; Computer science; Computer graphics (images); World Wide Web","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009815126,0.0003431789,0.0006335996,0.0005929025,0.0002746689,0.000661974,0.001327537,0.0001580668,0.0001251112],"category_scores_gemma":[0.000315254,0.0002619535,0.000180491,0.0007353249,0.0003465074,0.004437232,0.001124614,0.0008962778,0.000005999716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007096607,"about_ca_system_score_gemma":0.0001642437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006947686,"about_ca_topic_score_gemma":0.000006721014,"domain_scores_codex":[0.9960428,0.0009443932,0.001402835,0.0004651417,0.0008799214,0.0002649087],"domain_scores_gemma":[0.9949523,0.001118253,0.001519891,0.001268575,0.0009364854,0.0002044632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001042212,0.001323688,0.0005666036,0.001673569,0.0002170347,0.0001367789,0.00488027,0.0001420625,0.6186764,0.004857207,0.009820333,0.3566639],"study_design_scores_gemma":[0.001333229,0.001759413,0.002764849,0.007343315,0.0001347686,0.0002751673,0.001214483,0.07136662,0.9044086,0.004396343,0.004519498,0.0004836716],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03660827,0.01157367,0.9466709,0.003100248,0.0003200491,0.0004788051,0.00002688539,0.0001250644,0.00109609],"genre_scores_gemma":[0.8114499,0.008778767,0.1792573,0.00009735426,0.0001084303,0.00001045021,0.00003074066,0.00003783788,0.0002292687],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7748416,"threshold_uncertainty_score":0.9999833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03312612410471377,"score_gpt":0.3925493242068702,"score_spread":0.3594232001021564,"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."}}