{"id":"W1985610935","doi":"10.1103/physrevb.67.153202","title":"Isotherms for the liquid-gas phase transition in silicon from NPT Monte Carlo simulations","year":2003,"lang":"en","type":"article","venue":"Physical review. B, Condensed matter","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Spinodal; Monte Carlo method; Physics; Silicon; Atom (system on chip); Phase transition; Isothermal process; Thermodynamics; Phase (matter); Condensed matter physics; Statistical physics; Quantum mechanics","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":[0.0005992063,0.0003066021,0.0003898299,0.001201872,0.0006702464,0.0004545561,0.0008335083,0.0004950362,0.004414542],"category_scores_gemma":[0.001784915,0.0002560404,0.000399559,0.001089059,0.0004692641,0.0007547688,0.0002632644,0.0006911808,0.0003752119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683998,"about_ca_system_score_gemma":0.001035956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007692432,"about_ca_topic_score_gemma":0.009307264,"domain_scores_codex":[0.9997994,0.00002607073,0.000009944866,0.00002082911,0.0001158787,0.00002798752],"domain_scores_gemma":[0.9994592,0.0002688496,0.00003797696,0.00004383005,0.0001582435,0.00003192209],"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":[0.0001051663,0.00005881474,0.001646644,0.0001721669,0.00002580786,0.0001308244,0.000163175,0.9260486,0.01793676,0.04206532,0.001427577,0.01021924],"study_design_scores_gemma":[0.00001495752,0.00001819814,0.0009426926,0.00001524778,0.000007495601,0.00001829611,0.00002183826,0.9862019,0.006097232,0.005821124,0.0008261481,0.00001479611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7795712,0.0006546045,0.1752832,0.0004357484,0.0000676233,0.0002477491,0.003105164,0.001225948,0.03940869],"genre_scores_gemma":[0.9643381,0.0005244632,0.03058501,0.00005199841,0.00001496565,0.0003206979,0.001646713,0.0002473536,0.002270775],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007692432,"threshold_uncertainty_score":0.01529533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01822875786646064,"score_gpt":0.2923095211634016,"score_spread":0.274080763296941,"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."}}