{"id":"W6948951707","doi":"10.5281/zenodo.10796956","title":"MODERNIZATION OF A PROGRESSIVEBTC ALGORITHM FOR DISTRIBUTED IMAGE COMPRESSION","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Image compression; Image processing; Data compression; Image (mathematics); Compression (physics); Compression ratio; Image quality","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":[0.0005039575,0.000654672,0.0004436456,0.001394617,0.0005505476,0.0007757166,0.0008935078,0.0007826873,0.002756348],"category_scores_gemma":[0.001719882,0.0002318185,0.0004642677,0.001335155,0.0006966843,0.0008856497,0.0008501472,0.001337978,0.001239166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000734237,"about_ca_system_score_gemma":0.001121054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00328914,"about_ca_topic_score_gemma":0.003173526,"domain_scores_codex":[0.9993833,0.00005697855,0.00003092751,0.00006878827,0.0004255615,0.00003438618],"domain_scores_gemma":[0.9992589,0.0001596806,0.00004446023,0.0001470992,0.00035999,0.0000298417],"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":[0.0001758853,0.00008435812,0.0005033069,0.0002099178,0.00003840167,0.0002558255,0.0002097357,0.06005596,0.1326755,0.04854727,0.005245703,0.7519981],"study_design_scores_gemma":[0.00006512769,0.0002014127,0.000812343,0.00005942471,0.00002957718,0.001064974,0.00005089778,0.8635345,0.07913242,0.01386487,0.04113878,0.00004572937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004075959,0.0004475383,0.99237,0.0001048226,0.00009001571,0.00008622089,0.00003500763,0.0005844837,0.002205921],"genre_scores_gemma":[0.07554468,0.0007359636,0.9184036,0.00009503023,0.0001260611,0.000177444,0.0003153586,0.0001404761,0.004461366],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00328914,"threshold_uncertainty_score":0.009220958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650879114343647,"score_gpt":0.2870637898762697,"score_spread":0.2605549987328333,"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."}}