{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001331428,0.0001390897,0.0001381167,0.000273462,0.0002139674,0.00007154722,0.0001765389,0.00009440516,0.000007392773],"category_scores_gemma":[2.200526e-7,0.0001582813,0.0001105911,0.001026572,0.00002424287,0.0001081048,0.00002004537,0.0001144826,0.0000138001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016251,"about_ca_system_score_gemma":0.00001090764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009018842,"about_ca_topic_score_gemma":0.00001517661,"domain_scores_codex":[0.9991409,0.00000328543,0.0002812437,0.0002565802,0.00007105264,0.0002469756],"domain_scores_gemma":[0.9995552,0.000031349,0.00004209354,0.0001769582,0.0001294898,0.00006490776],"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":[0.000002273392,0.00008692423,0.0001741365,0.00004593957,0.0002139868,7.999094e-8,0.0001301384,0.02036989,0.03413749,0.001403985,0.004121675,0.9393135],"study_design_scores_gemma":[0.0001289412,0.00001179298,0.000820643,0.000004272367,0.0001722181,0.000005663042,0.00001111882,0.7227127,0.03624115,0.001299206,0.2384129,0.0001793676],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000572499,0.00006045926,0.9967541,0.00006202338,0.00001302173,0.0007720579,0.0001078869,0.001300027,0.0003579242],"genre_scores_gemma":[0.09115028,0.0000161222,0.9066318,0.00006368704,0.0003329219,0.001356369,0.0003277206,0.00003439489,0.00008667324],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9391341,"threshold_uncertainty_score":0.6454523,"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."}}