{"id":"W2978327508","doi":"10.21105/joss.01636","title":"ENZO: An Adaptive Mesh Refinement Code for Astrophysics (Version 2.6)","year":2019,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Canadian Institute for Theoretical Astrophysics","funders":"National Aeronautics and Space Administration","keywords":"Adaptive mesh refinement; Computer science; Code (set theory); Programming language; Astrophysics; Physics; Computational science","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":[0.0008586948,0.0008869619,0.0008306013,0.0005628172,0.0005063909,0.0009133301,0.002401627,0.001258077,0.0278544],"category_scores_gemma":[0.003243474,0.0006944421,0.001015046,0.0006316241,0.000402026,0.0008690146,0.001823238,0.002123378,0.008613466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004149598,"about_ca_system_score_gemma":0.001461151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005671062,"about_ca_topic_score_gemma":0.007244256,"domain_scores_codex":[0.9995664,0.00008154021,0.00003975344,0.00005119589,0.0002068737,0.00005428145],"domain_scores_gemma":[0.9993657,0.0002377887,0.00004848232,0.00007495203,0.0002141686,0.00005882485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006624932,0.0001845919,0.005416753,0.001790426,0.0003233612,0.00047446,0.000568593,0.2633873,0.02437788,0.04981991,0.4026908,0.2503034],"study_design_scores_gemma":[0.0004072168,0.00006274133,0.00110045,0.0001938278,0.00004793801,0.0002232328,0.00005547289,0.6174101,0.00860479,0.01604607,0.3557651,0.00008296623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01293628,0.00137399,0.8407382,0.0006066895,0.001034928,0.0004356107,0.01253194,0.09514841,0.03519397],"genre_scores_gemma":[0.08431261,0.001090394,0.81208,0.0009000789,0.0001544815,0.001291338,0.02468189,0.04433684,0.0311523],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.0278544,"threshold_uncertainty_score":0.09318227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796028650770469,"score_gpt":0.2553234938060008,"score_spread":0.2373632072982961,"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."}}