{"id":"W3012553271","doi":"10.21105/joss.01848","title":"Chaste: Cancer, Heart and Soft Tissue Environment","year":2020,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Leverhulme Trust; Engineering and Physical Sciences Research Council; Directorate for Biological Sciences; British Heart Foundation; Wellcome Trust","keywords":"Computer science; Cellular automaton; Cardiac electrophysiology; Software; Implementation; Computational model; Simulation; Artificial intelligence; Biology; Software engineering; Neuroscience; Electrophysiology; Programming language","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":[0.0002117643,0.0001180859,0.0002184111,0.00002095836,0.00008383962,0.00007532531,0.0004299399,0.00003887364,0.00006588591],"category_scores_gemma":[0.00001865995,0.00008616538,0.00003246101,0.00006877368,0.00003873582,0.0001379068,0.0001532634,0.0002930889,0.00001020656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004545475,"about_ca_system_score_gemma":0.00001996311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002854622,"about_ca_topic_score_gemma":0.000005405221,"domain_scores_codex":[0.999349,0.00002810133,0.000227689,0.00006838451,0.00015864,0.0001681842],"domain_scores_gemma":[0.9996041,0.00005789977,0.00006902531,0.0001165589,0.00001782065,0.0001345924],"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":[0.000165413,0.00003941636,0.00323622,0.0001323151,0.000313493,0.00002453474,0.005945511,0.8360322,0.07061673,0.00006138025,0.009609236,0.07382356],"study_design_scores_gemma":[0.002758097,0.001245386,0.005700557,0.0002477037,0.0004126761,0.0009363329,0.001188901,0.6883172,0.005080853,0.000676464,0.2923816,0.001054255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7642373,0.009955954,0.2202538,0.004883793,0.0001631522,0.0003132605,0.00002433375,0.00006551231,0.0001028553],"genre_scores_gemma":[0.9939498,0.002141882,0.002648244,0.0007405701,0.0002303966,0.000003066974,0.000001597755,0.00006117358,0.0002232722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2827723,"threshold_uncertainty_score":0.3513722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01081886830445987,"score_gpt":0.2280281325725278,"score_spread":0.2172092642680679,"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."}}