{"id":"W2254009713","doi":"10.1007/978-3-642-14703-6_7","title":"Circuit Design, Implementation, and Verification of CABAC Encoder","year":2010,"lang":"en","type":"book-chapter","venue":"Signals and communication technology","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre de Santé et de Services Sociaux Cavendish","funders":"","keywords":"Encoder; Computer science; Encoding (memory); Context-adaptive binary arithmetic coding; Application-specific integrated circuit; Computer hardware; Embedded system; Computer architecture; Algorithm; Data compression; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003592987,0.0002189424,0.0003338786,0.000494609,0.0002278625,0.00005681728,0.001405283,0.000632069,0.00003648326],"category_scores_gemma":[0.00002795181,0.0002151571,0.0000373664,0.000119275,0.0005083526,0.0001469942,0.0008979604,0.0006064397,0.000005956979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003053248,"about_ca_system_score_gemma":0.00009589853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002117764,"about_ca_topic_score_gemma":0.00001762453,"domain_scores_codex":[0.9987898,0.00003920022,0.0004489927,0.0003989048,0.0001529653,0.0001700792],"domain_scores_gemma":[0.9973896,0.0001494306,0.0005261638,0.001677486,0.000223475,0.00003388703],"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":[0.000001475881,0.000006855395,0.00002122082,0.00001503557,0.00002281183,3.201905e-7,0.00007756396,4.882394e-7,0.008096139,0.7734036,0.0001404172,0.218214],"study_design_scores_gemma":[0.0002245267,0.0001420573,0.00004082877,0.0001101993,0.0000261994,0.00002642085,0.0002989299,0.0002549959,0.05363366,0.9247254,0.02023786,0.0002789955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001819169,0.03553688,0.90943,0.01006917,0.0001732954,0.001315055,0.00003266247,0.00210832,0.03951541],"genre_scores_gemma":[0.8796582,0.02261225,0.08875453,0.0001451786,0.00001430687,0.0001635821,0.00003050055,0.00004471563,0.008576795],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.877839,"threshold_uncertainty_score":0.8773851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03745208233481923,"score_gpt":0.2719188273376954,"score_spread":0.2344667450028762,"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."}}