{"id":"W2364383810","doi":"","title":"Intra Prediction Mode Selection Fast Algorithm's Analysis for H.264","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Algorithm; Coding (social sciences); Mode (computer interface); Selection (genetic algorithm); Identification (biology); Real-time computing; Artificial intelligence; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000353775,0.0003875605,0.0002207417,0.0006680036,0.0002692909,0.0004622058,0.0002956032,0.0002941624,0.002611615],"category_scores_gemma":[0.0009504185,0.0001238111,0.0003238194,0.0004334842,0.0001663695,0.0005681141,0.000169562,0.0006223613,0.0006390556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003879579,"about_ca_system_score_gemma":0.0007785588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896468,"about_ca_topic_score_gemma":0.002452358,"domain_scores_codex":[0.999718,0.00003011434,0.000009907046,0.00002963706,0.0001933744,0.00001887843],"domain_scores_gemma":[0.9996163,0.0001006406,0.00002564209,0.00002632285,0.0002223626,0.000008796608],"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":[0.0002381095,0.00005203387,0.00288122,0.0001569036,0.00005418985,0.0001758838,0.000207343,0.05654002,0.08123375,0.05170526,0.009452202,0.7973031],"study_design_scores_gemma":[0.00002480465,0.000192266,0.00633601,0.00005148006,0.00004129227,0.0005399369,0.00005310104,0.9146489,0.03912773,0.01329051,0.02564815,0.00004579465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01478115,0.001827086,0.9779283,0.000215481,0.0001253551,0.00004861387,0.00009111841,0.0003697825,0.004613132],"genre_scores_gemma":[0.2962239,0.004679177,0.6744108,0.000199137,0.0002786911,0.0002251608,0.0007981493,0.0002310886,0.02295391],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002896468,"threshold_uncertainty_score":0.00873667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006138097489481974,"score_gpt":0.2476972184155137,"score_spread":0.2415591209260317,"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."}}