{"id":"W2059265580","doi":"10.1039/c0sm01057j","title":"Long-ranged electrostatics from local algorithms","year":2011,"lang":"en","type":"article","venue":"Soft Matter","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Electrostatics; Coulomb; Gauss's law; Constraint (computer-aided design); Poisson–Boltzmann equation; Electric field; Statistical physics; Gauss; Coulomb's law; Poisson's equation; Field (mathematics); Boundary (topology); Boundary value problem; Physics; Poisson distribution; Yukawa potential; Classical mechanics; Computer science; Mathematics; Quantum mechanics; Mathematical analysis","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":[0.001160764,0.0006131118,0.0008880948,0.0005112655,0.0005658271,0.001178205,0.001866614,0.001141213,0.007987798],"category_scores_gemma":[0.003237742,0.0004094658,0.0006447103,0.000603571,0.0008850502,0.001747534,0.002454716,0.001293164,0.00165389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008119874,"about_ca_system_score_gemma":0.0009142952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001400532,"about_ca_topic_score_gemma":0.002032103,"domain_scores_codex":[0.9996181,0.0001628165,0.00001782905,0.00004385245,0.000118545,0.00003875243],"domain_scores_gemma":[0.9989734,0.0005256455,0.00005826803,0.0001814112,0.0001824907,0.00007896501],"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":[0.00007061166,0.00006521828,0.0003494089,0.00016348,0.00004583566,0.00009276914,0.0000913199,0.7519828,0.001488163,0.1776456,0.003022185,0.06498256],"study_design_scores_gemma":[0.00002954771,0.00001322494,0.00002577858,0.00000997054,0.000004059198,0.00001554701,0.000007469428,0.9549505,0.0003527295,0.0428763,0.0017097,0.000005198026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008745261,0.0002627804,0.982498,0.0002303513,0.00005482193,0.00004803185,0.00006070058,0.0006772424,0.007422874],"genre_scores_gemma":[0.3236351,0.0004578026,0.6615078,0.0002629859,0.0001399134,0.0005061129,0.0003196074,0.0009129723,0.01225769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007987798,"threshold_uncertainty_score":0.02672184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130787643437554,"score_gpt":0.2275435981464893,"score_spread":0.2144648338027339,"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."}}