{"id":"W2328002359","doi":"10.1145/2893488","title":"Parallel Optimal Pairwise Biological Sequence Comparison","year":2016,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Pairwise comparison; Xeon; Xeon Phi; Parallel computing; Sequence (biology); Graphics; Field (mathematics); Supercomputer; Benchmark (surveying); Resource (disambiguation); Field-programmable gate array; Artificial intelligence; Operating system","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":[0.002394962,0.001313391,0.001924835,0.002959626,0.0005647278,0.001461962,0.002439555,0.001175174,0.003686616],"category_scores_gemma":[0.008584126,0.0005049124,0.001171944,0.005233211,0.000948507,0.002577525,0.001709092,0.001215769,0.002142644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006117623,"about_ca_system_score_gemma":0.001509347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009057597,"about_ca_topic_score_gemma":0.0008319257,"domain_scores_codex":[0.9973869,0.0004958843,0.0002201441,0.000539216,0.001237045,0.0001208507],"domain_scores_gemma":[0.9970005,0.001581636,0.0002620481,0.0004450569,0.0006461059,0.00006458259],"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":[0.0001777085,0.00009185661,0.001042235,0.001501086,0.0001539163,0.0001303134,0.00009189596,0.02593155,0.007799752,0.02393635,0.00949399,0.9296494],"study_design_scores_gemma":[0.0002311173,0.000652401,0.005655854,0.001028468,0.0004486485,0.006473261,0.0004416539,0.4693576,0.06902345,0.2666336,0.1798366,0.0002174468],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.01214548,0.06829321,0.9046184,0.001068135,0.0006615653,0.0002031354,0.0006728353,0.001787882,0.01054936],"genre_scores_gemma":[0.12046,0.04742509,0.8208682,0.0006183067,0.0008187848,0.0004073262,0.003030003,0.0005411871,0.005831091],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.003686616,"threshold_uncertainty_score":0.01266593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.19535979625243,"score_gpt":0.3928243133264426,"score_spread":0.1974645170740126,"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."}}