{"id":"W2560434570","doi":"10.1016/j.nancom.2017.02.002","title":"Simulating with AcCoRD: Actor-based Communication via Reaction–Diffusion","year":2017,"lang":"en","type":"article","venue":"Nano Communication Networks","topic":"Molecular Communication and Nanonetworks","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; University of British Columbia; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mesoscopic physics; Solver; Scalability; Process (computing); Sandbox (software development); Documentation; Bounded function; Level of detail; Source code","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001502096,0.0007377322,0.001054137,0.0004833556,0.0008401425,0.001479027,0.001765936,0.002185347,0.005448926],"category_scores_gemma":[0.006516887,0.000645672,0.001000714,0.0004672657,0.001606412,0.001984579,0.001611986,0.001780212,0.0005438179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007939795,"about_ca_system_score_gemma":0.000934699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00494959,"about_ca_topic_score_gemma":0.003054047,"domain_scores_codex":[0.9992253,0.0003937051,0.00003460961,0.0001428411,0.0001298595,0.00007366938],"domain_scores_gemma":[0.9960075,0.003051533,0.0002024346,0.0003707221,0.0001871226,0.0001807664],"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":[0.00009415797,0.00005732808,0.0005015496,0.00003240665,0.00002827901,0.00006365089,0.00008921324,0.9709632,0.0009172905,0.02273301,0.0003434191,0.004176508],"study_design_scores_gemma":[0.0000144937,0.000007983951,0.000017603,0.000001304152,0.000004580938,0.000005115628,0.00000513006,0.9949831,0.0002572584,0.004506103,0.0001940826,0.000003218528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1333755,0.0001626894,0.8491567,0.0008432288,0.0002321256,0.0001181483,0.0001522423,0.001403197,0.01455614],"genre_scores_gemma":[0.8989725,0.0001030907,0.09583001,0.0001460421,0.00004224846,0.0001338556,0.0001056407,0.0001332742,0.004533406],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005448926,"threshold_uncertainty_score":0.01822853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368623065995301,"score_gpt":0.2405341601936083,"score_spread":0.2268479295336553,"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."}}