{"id":"W4402969638","doi":"10.1117/12.3031814","title":"LIVE: latent image and video encoding","year":2024,"lang":"en","type":"article","venue":"","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Encoding (memory); Computer vision; Image (mathematics); Artificial intelligence; Computer graphics (images)","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":[0.0002823265,0.0004039214,0.0002714746,0.000618015,0.0002502722,0.00117154,0.0008811548,0.0006174981,0.01519389],"category_scores_gemma":[0.001488248,0.0001814811,0.0002772969,0.0006547759,0.0004532965,0.001551351,0.001300037,0.001131077,0.003436981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006289734,"about_ca_system_score_gemma":0.0004590984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00202221,"about_ca_topic_score_gemma":0.002675281,"domain_scores_codex":[0.9997279,0.00003081439,0.00001285726,0.00003786195,0.0001479345,0.00004263849],"domain_scores_gemma":[0.9995211,0.00007628009,0.00003727752,0.0001848571,0.0001415383,0.00003887729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008871189,0.0001693191,0.0009313992,0.0002889749,0.00003959479,0.0003908965,0.0002305482,0.02355886,0.1592701,0.1701214,0.03940953,0.6047022],"study_design_scores_gemma":[0.0001510053,0.0003010904,0.001102254,0.0001205735,0.00002861809,0.001084256,0.0001436722,0.6581783,0.1742284,0.04900156,0.1155682,0.00009210657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02135324,0.0007673292,0.948379,0.0007287284,0.0003202354,0.0001579933,0.001223788,0.008133016,0.01893653],"genre_scores_gemma":[0.4271744,0.001237395,0.5205426,0.0004983344,0.0002851197,0.0002439081,0.00348714,0.001175072,0.04535602],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01519389,"threshold_uncertainty_score":0.05082858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03045731405631862,"score_gpt":0.2343360780567713,"score_spread":0.2038787640004526,"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."}}