{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004575524,0.00004918165,0.00004641489,0.00001336097,0.0001085954,0.00002925042,0.00001669497,0.00002964969,0.000001634672],"category_scores_gemma":[0.00005166229,0.00004818082,0.000008002775,0.00002100588,0.00004124873,0.000004887684,0.00002738028,0.00001787113,4.651737e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001694856,"about_ca_system_score_gemma":0.00001224209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004395781,"about_ca_topic_score_gemma":9.09267e-7,"domain_scores_codex":[0.9996967,0.00001309077,0.0000733954,0.0001407876,0.00002584215,0.00005022335],"domain_scores_gemma":[0.9998162,0.00004338107,0.00003357138,0.00003213211,0.00005823476,0.00001652866],"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":[0.0005202217,0.0002086515,0.03846135,0.0003296843,0.0002819089,0.000002370788,0.006877255,0.0001367588,0.07842073,0.05676494,0.008688815,0.8093073],"study_design_scores_gemma":[0.003300445,0.0008921837,0.1996719,0.0001253682,0.0002105235,0.00008969986,0.006540138,0.00986687,0.006378575,0.01439155,0.7576343,0.0008984276],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708973,0.007521245,0.01840032,0.0004888514,0.0002328213,0.0001527362,0.00001312277,0.000002732831,0.002290844],"genre_scores_gemma":[0.9976602,0.00074011,0.000907174,0.0004639292,0.00003316958,0.00002052433,0.0000254459,0.000001956036,0.0001475239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8084089,"threshold_uncertainty_score":0.1964757,"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."}}