{"id":"W2043757890","doi":"10.1063/1.4902404","title":"Exponential approximation for one-component Yukawa plasma","year":2014,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Dust and Plasma Wave Phenomena","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Yukawa potential; Monte Carlo method; Statistical physics; Exponential function; Physics; Component (thermodynamics); Coupling parameter; Plasma; Coupling (piping); Equation of state; Quantum mechanics; Mathematics; Materials science; Mathematical analysis; Statistics","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":[0.0006367912,0.000457285,0.0006384134,0.0008891844,0.0005225788,0.0008434228,0.001287407,0.0008785855,0.001249265],"category_scores_gemma":[0.001650947,0.0002353588,0.0007959566,0.0005976269,0.0009902314,0.001397698,0.0006496125,0.0008271738,0.0003065489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006643105,"about_ca_system_score_gemma":0.0006783152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001934379,"about_ca_topic_score_gemma":0.001036963,"domain_scores_codex":[0.9997789,0.00006575193,0.000007752862,0.00001904079,0.00008073547,0.00004786841],"domain_scores_gemma":[0.9994822,0.0002325169,0.00004996097,0.00006235546,0.0001292006,0.00004389033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009338182,0.00008781751,0.001635094,0.0001184957,0.00005699776,0.0003634664,0.0001977765,0.4953223,0.009061733,0.4850349,0.001238919,0.006789099],"study_design_scores_gemma":[0.000007742598,0.00001106557,0.0001541037,0.000003772325,0.000003421106,0.00003282077,0.00001204125,0.9669075,0.0003209072,0.03233676,0.0002027889,0.000007116304],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3526977,0.001304191,0.6259815,0.0005419925,0.0001328081,0.0000992792,0.0001471471,0.0005043988,0.01859102],"genre_scores_gemma":[0.9760799,0.0004899617,0.01903665,0.0001001709,0.00006706239,0.0001147128,0.00009507719,0.00007558768,0.003940945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001934379,"threshold_uncertainty_score":0.00481993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01719517602620667,"score_gpt":0.2263711084674381,"score_spread":0.2091759324412314,"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."}}