{"id":"W2087276028","doi":"10.1109/ita.2009.5044975","title":"On the rate distortion theory for causal video coding","year":2009,"lang":"en","type":"article","venue":"","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada); University of Waterloo","funders":"","keywords":"Frame (networking); Computer science; Algorithm; Artificial intelligence","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":[0.005073779,0.002160721,0.001329376,0.002463145,0.000818162,0.003104867,0.002223903,0.002256039,0.005389123],"category_scores_gemma":[0.01414032,0.0006520287,0.001323966,0.002812747,0.003269169,0.005153136,0.00266773,0.004710047,0.001605857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003538732,"about_ca_system_score_gemma":0.002292925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004197765,"about_ca_topic_score_gemma":0.001517389,"domain_scores_codex":[0.9963014,0.001476898,0.0001577374,0.0004576626,0.001276065,0.0003301813],"domain_scores_gemma":[0.9920077,0.005686302,0.0004577732,0.0006863875,0.001035194,0.0001265611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000617777,0.00001603967,0.0001525074,0.0001123651,0.00002380496,0.0001153736,0.00007052517,0.04981013,0.0007143685,0.9292774,0.002614686,0.01703112],"study_design_scores_gemma":[0.00002564986,0.00006661771,0.0001708249,0.00008523988,0.00002534237,0.0002109206,0.00003633137,0.291918,0.001024269,0.699648,0.006745635,0.0000430925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004618415,0.005351047,0.9659486,0.001703507,0.0003204004,0.00005468367,0.000344562,0.0001279758,0.02153087],"genre_scores_gemma":[0.5662227,0.03330517,0.3511908,0.002402039,0.004033222,0.0007105519,0.001929338,0.0004643483,0.03974175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005389123,"threshold_uncertainty_score":0.02683306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809707620478208,"score_gpt":0.2536789154714664,"score_spread":0.2355818392666843,"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."}}