{"id":"W2355145837","doi":"","title":"A Fast Intra Prediction Algorithm for 4×4 Blocks in H.264/AVC","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Bit rate; Computation; Coding (social sciences); Scalable Video Coding; Algorithmic efficiency; Block (permutation group theory); Artificial intelligence; Real-time computing; Motion compensation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001227294,0.0001475532,0.0001571436,0.0002420807,0.000167657,0.0001463388,0.001074224,0.0001085992,0.000001693302],"category_scores_gemma":[0.000001000406,0.0001457022,0.00006812886,0.0005613969,0.00002862804,0.0001994881,0.0001632697,0.0001629614,0.00001722405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005330519,"about_ca_system_score_gemma":0.00003316205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004618982,"about_ca_topic_score_gemma":0.000001443936,"domain_scores_codex":[0.9987993,0.00001482597,0.000291269,0.0005015662,0.0001065294,0.0002865574],"domain_scores_gemma":[0.9992121,0.00005271466,0.00007605003,0.0005335012,0.00007429193,0.00005134305],"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":[8.624199e-7,0.0001206892,0.00002350159,0.000003104423,0.000003633996,5.687484e-7,0.0001222398,0.0001123387,0.002669191,0.00682348,0.004335253,0.9857851],"study_design_scores_gemma":[0.001166423,0.0002573275,0.003303854,0.00007544462,0.00000911825,0.00004870249,0.00004632868,0.4915912,0.02555297,0.07785067,0.3996298,0.0004682296],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005897264,0.0001363432,0.9948817,0.002435507,0.00003486878,0.0008408899,0.00001353318,0.0008447334,0.0002226244],"genre_scores_gemma":[0.0388345,0.00002248409,0.9592806,0.0005869426,0.0001310996,0.0009755704,0.00001507907,0.000007612804,0.000146113],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9853169,"threshold_uncertainty_score":0.5941563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00950776575102763,"score_gpt":0.242322860631303,"score_spread":0.2328150948802754,"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."}}