{"id":"W2145635616","doi":"10.1109/ccece.2006.277302","title":"Survey of Biological High Performance Computing: Algorithms, Implementations and Outlook Research","year":2006,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Implementation; Massively parallel; Biological data; Field-programmable gate array; Supercomputer; Field (mathematics); Algorithm; Matching (statistics); Throughput; Parallel computing; Bioinformatics; Embedded 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":[0.002014244,0.001249239,0.001316042,0.002638999,0.0007093114,0.003604826,0.00244331,0.001811367,0.006308694],"category_scores_gemma":[0.007205396,0.0007544236,0.0007057741,0.007745262,0.0008998601,0.00452543,0.001138316,0.002039719,0.004817848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018753,"about_ca_system_score_gemma":0.00171353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008035,"about_ca_topic_score_gemma":0.0007023949,"domain_scores_codex":[0.9981313,0.0004442995,0.0001534624,0.0002054302,0.0009457306,0.000119782],"domain_scores_gemma":[0.9965447,0.001794659,0.0001173004,0.0003954037,0.001027845,0.0001201601],"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":[0.0001629263,0.0001251741,0.0008943491,0.002607095,0.00006411853,0.00008557201,0.00008279035,0.01421776,0.002731161,0.03824112,0.01844634,0.9223416],"study_design_scores_gemma":[0.000133783,0.0004743502,0.001867082,0.002312667,0.0001422543,0.001222492,0.000301896,0.175799,0.01379841,0.1575668,0.6462306,0.0001506869],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.009113876,0.471568,0.471595,0.006480162,0.001719224,0.0002441141,0.0003393257,0.002707548,0.03623264],"genre_scores_gemma":[0.06204564,0.5224823,0.3978107,0.001762558,0.002639262,0.0004924139,0.001423024,0.0007221977,0.01062194],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006308694,"threshold_uncertainty_score":0.02110469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1337366737832091,"score_gpt":0.3762713188462085,"score_spread":0.2425346450629995,"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."}}