{"id":"W2028637730","doi":"10.1109/newcas.2009.5290458","title":"High performance ASIP implementation of PBDI &amp;#x2014; A new intra-field deinterlacing method","year":2009,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Very long instruction word; Speedup; Instruction set; Pipeline (software); Application-specific instruction-set processor; Parallel computing; Reduced instruction set computing; Memory bandwidth; Computer architecture; Software; Computer engineering; Programming language","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":[0.0001715709,0.000330403,0.000184715,0.0003158573,0.0002016271,0.000442323,0.0008441202,0.0001948196,0.007180647],"category_scores_gemma":[0.0003994309,0.0001734192,0.00009327117,0.0003497179,0.0001664812,0.000351693,0.0002175691,0.0005915688,0.00161599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003136123,"about_ca_system_score_gemma":0.0004305124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006263478,"about_ca_topic_score_gemma":0.0009593848,"domain_scores_codex":[0.9998456,0.00001416382,0.000009064265,0.00002565911,0.00008089716,0.0000245574],"domain_scores_gemma":[0.9998062,0.00002805864,0.00001670691,0.00003670162,0.00009779065,0.00001463723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006521433,0.0002251765,0.001354526,0.0002140238,0.00003089518,0.0002680247,0.0001542202,0.01124412,0.4881786,0.01598762,0.01465193,0.4670387],"study_design_scores_gemma":[0.0001242474,0.0004508387,0.001162782,0.00002406184,0.0000311825,0.0006672391,0.00003458474,0.2033125,0.728056,0.001454937,0.06464913,0.0000324557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08078669,0.0002638357,0.8843167,0.0002730128,0.0001964833,0.0001260865,0.0002023348,0.007326845,0.02650801],"genre_scores_gemma":[0.3378517,0.0002513403,0.6378493,0.0001574794,0.0000545521,0.0001836526,0.0006957017,0.0003484421,0.0226078],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007180647,"threshold_uncertainty_score":0.02402169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0262254294629469,"score_gpt":0.3304898846067465,"score_spread":0.3042644551437996,"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."}}