{"id":"W4365143251","doi":"10.1016/j.camwa.2023.03.019","title":"MM-ADMM: Implicit integration of MMPDEs in parallel","year":2023,"lang":"en","type":"article","venue":"Computers & Mathematics with Applications","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Applied mathematics; Mathematical optimization; Calculus (dental); Medicine","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":[0.0006875572,0.000606338,0.0008019678,0.0003299878,0.0005420452,0.001037178,0.00183863,0.001049623,0.008407347],"category_scores_gemma":[0.002463499,0.0003457158,0.0005180126,0.0005482059,0.0004938342,0.0009654941,0.001715299,0.001832568,0.002415699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003123882,"about_ca_system_score_gemma":0.001112724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002003723,"about_ca_topic_score_gemma":0.003863995,"domain_scores_codex":[0.9996274,0.0001068422,0.00002529672,0.00003786443,0.0001619543,0.00004067548],"domain_scores_gemma":[0.9991832,0.0002670619,0.000053703,0.0002077159,0.0002224222,0.00006586811],"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":[0.0005714574,0.0003329375,0.002113839,0.0004935145,0.0001659199,0.0004438257,0.000335811,0.5108421,0.01139564,0.1111651,0.02432261,0.3378173],"study_design_scores_gemma":[0.00005042085,0.00002676879,0.00005909176,0.00001834382,0.000008639707,0.00004516,0.00001934226,0.9811276,0.002555356,0.008616139,0.007463903,0.000009086601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01196824,0.0002545873,0.9756468,0.0002017598,0.0003022445,0.00006954104,0.000216582,0.002119422,0.009220937],"genre_scores_gemma":[0.1834787,0.0002803832,0.8031407,0.0002584569,0.0001158568,0.0002895358,0.0004457258,0.001048517,0.01094209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008407347,"threshold_uncertainty_score":0.02812541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07513519805501703,"score_gpt":0.3652701292417426,"score_spread":0.2901349311867255,"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."}}