{"id":"W2562785893","doi":"","title":"Evolving Reaction-Diffusion Systems on GPU","year":2011,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Reaction–diffusion system; Computation; Diffusion; Simple (philosophy); Work (physics); Optimization problem; Mathematical optimization; Algorithm; Mathematics; Physics","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":[0.0003436243,0.0004279279,0.0005549084,0.0003493751,0.0003252714,0.0007183306,0.0008002879,0.0008285603,0.004257994],"category_scores_gemma":[0.001720435,0.0002810385,0.0004507377,0.0003736221,0.0005266655,0.0005209186,0.0005460464,0.0006907498,0.0004231772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008341848,"about_ca_system_score_gemma":0.000429293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005004032,"about_ca_topic_score_gemma":0.003304459,"domain_scores_codex":[0.9998617,0.00004779861,0.000006752758,0.00002602768,0.00004001699,0.00001761182],"domain_scores_gemma":[0.9994241,0.0003451021,0.00003663633,0.00007662776,0.00008346199,0.00003399759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008503238,0.0000425422,0.001227847,0.00005508811,0.00003572563,0.00007468249,0.00006922181,0.9594143,0.009026276,0.01069709,0.0008124288,0.01845973],"study_design_scores_gemma":[0.00001128484,0.000007259954,0.00007760075,0.000001547384,0.00000234797,0.000006246522,0.00000424801,0.9968299,0.0007686084,0.001754752,0.0005340889,0.000002148459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5403081,0.0005509082,0.4232025,0.0006304608,0.0002031029,0.0001039782,0.0003822625,0.002598233,0.03202046],"genre_scores_gemma":[0.845461,0.0001646631,0.1496245,0.00009320526,0.00001743755,0.0001135248,0.0002267199,0.0001638936,0.004135106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005004032,"threshold_uncertainty_score":0.01424444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01505865691441143,"score_gpt":0.2158467148258612,"score_spread":0.2007880579114497,"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."}}