{"id":"W2083073659","doi":"10.1147/rd.492.0465","title":"Custom math functions for molecular dynamics","year":2005,"lang":"en","type":"article","venue":"IBM Journal of Research and Development","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Compiler; IBM; Fortran; Computer science; Parallel computing; Supercomputer; Folding (DSP implementation); Implementation; Throughput; Point (geometry); Programming language; Computational science; Computer architecture; Operating system; Mathematics; Engineering","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":[0.001002464,0.00005843661,0.00009485834,0.0002102634,0.0002309537,0.0001590369,0.00037037,0.00002937747,0.000004625213],"category_scores_gemma":[0.00004636297,0.00004280325,0.0000235265,0.0001510802,0.0000351894,0.0003727384,0.000230397,0.0001787871,0.00001137761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301076,"about_ca_system_score_gemma":0.0005113232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001741494,"about_ca_topic_score_gemma":0.000004250106,"domain_scores_codex":[0.9989014,0.00002858133,0.0002204339,0.0001224924,0.0004876097,0.0002394413],"domain_scores_gemma":[0.9990636,0.00009648877,0.00006314413,0.0001367779,0.000462922,0.0001770453],"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":[0.00005638653,0.0001699618,0.0002130846,0.00002675821,0.00004560865,0.00005271862,0.000543546,0.000143475,0.0003821312,0.02202545,0.01218152,0.9641594],"study_design_scores_gemma":[0.001373171,0.0006157214,0.001999424,0.0001444762,0.00000335041,0.0003514572,0.0002751802,0.1036557,0.003365585,0.004830441,0.8831714,0.0002140225],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02157056,0.0006678724,0.9756049,0.001728353,0.0001136196,0.00008841992,0.000002866676,0.0000089861,0.0002144176],"genre_scores_gemma":[0.1081186,0.0001283907,0.8906492,0.0001069326,0.0001468616,0.0000102925,0.000005202806,0.000007038943,0.0008275186],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9639453,"threshold_uncertainty_score":0.1776332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04394402384357644,"score_gpt":0.345994106838011,"score_spread":0.3020500829944346,"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."}}