{"id":"W2124920465","doi":"10.1093/bib/bbp064","title":"Simulation of P systems with active membranes on CUDA","year":2009,"lang":"en","type":"article","venue":"Briefings in Bioinformatics","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"CUDA; Computer science; Key (lock); Class (philosophy); Central processing unit; Membrane computing; Parallel computing; Computational science; Simulation; Computer architecture; Computer hardware; Operating system; Theoretical computer science; Artificial intelligence","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":[0.00009746985,0.00009455544,0.0001293649,0.00003876332,0.00002586198,0.00001390088,0.00008942764,0.00009452985,0.000001014388],"category_scores_gemma":[0.0000873506,0.00006616077,0.00002698517,0.0000945897,0.00003305052,0.000005651057,0.00001899604,0.0000577402,0.000001748501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008147507,"about_ca_system_score_gemma":0.0000162232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001092701,"about_ca_topic_score_gemma":0.000001526757,"domain_scores_codex":[0.9994273,0.00001449804,0.0002381476,0.00009078042,0.00009905906,0.0001301688],"domain_scores_gemma":[0.9996215,0.00003441861,0.0001433592,0.000124068,0.00005306463,0.00002358695],"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":[0.0009826735,0.000295311,0.001493153,0.0002907654,0.00005571101,0.000005188568,0.0007149181,0.8829049,0.03080109,0.001300738,0.0002268938,0.0809286],"study_design_scores_gemma":[0.00389133,0.008466813,0.02795498,0.0008346764,0.00003945495,0.00003645049,0.001090225,0.7240358,0.2115726,0.0003598126,0.02055036,0.001167496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896766,0.00005962591,0.004916633,0.00008213025,0.00003283614,0.0001821672,0.000005840257,0.00001250647,0.005031683],"genre_scores_gemma":[0.9982182,0.00001421386,0.001178281,0.0004921447,0.00003322072,0.000001300966,0.00003144543,0.000003326238,0.00002786072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1807715,"threshold_uncertainty_score":0.2697958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213112504075233,"score_gpt":0.2458033272438325,"score_spread":0.2336722022030802,"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."}}