{"id":"W2023688641","doi":"10.1063/1.1795713","title":"Constant-volume heat capacity in a near-critical fluid from Monte Carlo simulations","year":2004,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Western Canada Research Grid","keywords":"Monte Carlo method; Criticality; Heat capacity; Universality (dynamical systems); Statistical physics; Ising model; Critical exponent; Specific heat; Physics; Canonical ensemble; Renormalization group; Thermodynamics; Grand canonical ensemble; Mathematics; Condensed matter physics; Phase transition; Mathematical physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007849174,0.0001153107,0.0002248809,0.00001410305,0.00002592097,0.0000224473,0.0001852752,0.00006141925,0.0000113745],"category_scores_gemma":[0.00005933822,0.00009166254,0.00008590943,0.0001256204,0.0001608397,0.0001892562,0.00002180678,0.0004331703,0.000005972564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554168,"about_ca_system_score_gemma":0.000043794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005256618,"about_ca_topic_score_gemma":0.000005044596,"domain_scores_codex":[0.9992595,0.0000245027,0.0002934012,0.00005334253,0.0001832879,0.0001860043],"domain_scores_gemma":[0.9994611,0.0002197217,0.00002564079,0.0001505805,0.00005361839,0.00008937193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003824943,0.00007405264,0.00007311802,0.000007649104,0.00003912494,0.00001007505,0.0006207632,0.4049375,0.5934325,0.0006323019,0.00003023584,0.0001043956],"study_design_scores_gemma":[0.001508059,0.00004217985,0.00009527637,0.0001430964,0.00009531488,0.00004801162,0.00004483203,0.7661486,0.09586272,0.1357171,0.00006488745,0.0002298414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931812,0.0001794202,0.005907719,0.0002301671,0.0001483841,0.00004257742,0.00004798617,0.0000240634,0.0002385037],"genre_scores_gemma":[0.9991997,0.00001135543,0.000468525,0.00004495059,0.0002523109,3.687975e-7,0.000001801583,0.00002021699,7.588225e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4975698,"threshold_uncertainty_score":0.373789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01683804444104336,"score_gpt":0.2255299886513985,"score_spread":0.2086919442103551,"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."}}