{"id":"W4205610319","doi":"10.1504/ijmis.2022.10044233","title":"An efficient three-dimensional prediction structure for coding light field video content using the MV-HEVC standard","year":2022,"lang":"en","type":"article","venue":"International Journal of Multimedia Intelligence and Security","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coding (social sciences); Computer science; Mathematics; Statistics","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":[0.000692989,0.0001228656,0.0001639212,0.0001744884,0.000400247,0.0001832159,0.001383404,0.00005662713,0.00003728125],"category_scores_gemma":[0.0002352976,0.00008515729,0.00009114738,0.0001074196,0.0000595867,0.0003780606,0.0003391069,0.0004296985,1.813982e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030437,"about_ca_system_score_gemma":0.0001020822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003531843,"about_ca_topic_score_gemma":0.00001668618,"domain_scores_codex":[0.9982911,0.00008999792,0.0004329358,0.0002340455,0.0007940118,0.0001579448],"domain_scores_gemma":[0.9984204,0.000338362,0.0003430027,0.0002236323,0.0005930978,0.00008149142],"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":[0.002172569,0.0009554106,0.006229472,0.00003514506,0.0005132637,0.000173896,0.01835717,0.3236406,0.05728926,0.03830921,0.001905898,0.5504182],"study_design_scores_gemma":[0.0002850865,0.000770472,0.0001571086,0.00004820243,0.00001399124,0.0002629423,0.000899314,0.938651,0.04467779,0.01324696,0.0008784379,0.00010874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4579031,0.0003046933,0.5375231,0.001967781,0.002074794,0.0001346172,0.00005366297,0.00003570838,0.000002534707],"genre_scores_gemma":[0.9852281,0.00002533979,0.01419869,0.0003126019,0.0002157122,0.000008537655,0.000003720726,0.000005432164,0.000001905293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6150104,"threshold_uncertainty_score":0.3472614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04397860755557977,"score_gpt":0.3023638695161852,"score_spread":0.2583852619606055,"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."}}