{"id":"W3186910762","doi":"10.1109/tip.2022.3160602","title":"Scalable Image Coding for Humans and Machines","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":148,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Codec; Scalability; Artificial intelligence; Coding (social sciences); Computer vision; Machine vision; Machine learning; Task (project management); Computer hardware; Database; Engineering","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":[0.0005332352,0.0005563574,0.000336508,0.0004849848,0.0002262201,0.0007545095,0.0009296604,0.0006592287,0.004810919],"category_scores_gemma":[0.002780471,0.0001873485,0.0002629215,0.000577612,0.0006311337,0.001785312,0.001068212,0.001299778,0.001185157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005923579,"about_ca_system_score_gemma":0.0008410368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005051501,"about_ca_topic_score_gemma":0.005564674,"domain_scores_codex":[0.9996551,0.00004839024,0.00001548564,0.0000577612,0.0001832062,0.000040065],"domain_scores_gemma":[0.9992694,0.0002191477,0.00004128926,0.0002383043,0.0001996971,0.00003209801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003204607,0.0001091529,0.0005445735,0.0002193713,0.00005026793,0.0001589795,0.0001572632,0.1885975,0.07255326,0.05728353,0.02855524,0.6514505],"study_design_scores_gemma":[0.00002423048,0.00006338565,0.0003320018,0.00004283798,0.000009863238,0.0001180097,0.0000386868,0.9264989,0.02267778,0.03469411,0.01548234,0.00001789879],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01571704,0.001184526,0.9720334,0.0005784402,0.0001285442,0.0001023251,0.000230088,0.004051272,0.005974231],"genre_scores_gemma":[0.3944407,0.001613195,0.5927618,0.000375792,0.000155005,0.0003012555,0.001068,0.0004961325,0.008788147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005051501,"threshold_uncertainty_score":0.01609415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030060063684558,"score_gpt":0.3022955667161125,"score_spread":0.2819949660792669,"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."}}