{"id":"W4416301706","doi":"10.1002/cpe.70435","title":"Faster Positional‐Population Counts for AVX2, AVX‐512, and ASIMD","year":2025,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ; Université du Québec à Montréal","funders":"","keywords":"SIMD; Set (abstract data type); Population; Adaptation (eye); Implementation; Instruction set","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":[0.000782155,0.0008379395,0.0004883603,0.001487395,0.0008192441,0.00171318,0.001876694,0.0004612252,0.01321638],"category_scores_gemma":[0.003014432,0.0004032553,0.0004407591,0.002111203,0.0005123062,0.001636953,0.00123757,0.0006715431,0.002371286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040522,"about_ca_system_score_gemma":0.001726897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007102172,"about_ca_topic_score_gemma":0.01012256,"domain_scores_codex":[0.9992636,0.00009491689,0.00007521445,0.0001531122,0.0003191266,0.00009404989],"domain_scores_gemma":[0.9988965,0.0003180043,0.00008009451,0.0002645208,0.0003743526,0.00006647361],"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":[0.001672775,0.0003308916,0.01970008,0.0003962147,0.0001013905,0.00038052,0.0004800888,0.09366283,0.06255067,0.09958774,0.04732076,0.673816],"study_design_scores_gemma":[0.0002203626,0.0001361144,0.002417094,0.00004811879,0.00002457222,0.0001757335,0.000150642,0.8549699,0.08541588,0.02529051,0.0310772,0.00007391733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1819915,0.000766156,0.7464796,0.0007709205,0.0005034301,0.0002236475,0.002240898,0.04128456,0.02573922],"genre_scores_gemma":[0.3658148,0.0001596418,0.6170499,0.0002046174,0.00004708431,0.0003251711,0.003519719,0.001467723,0.01141123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01321638,"threshold_uncertainty_score":0.04421318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288505849856828,"score_gpt":0.3266617003134753,"score_spread":0.313776641814907,"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."}}