{"id":"W1983333902","doi":"10.1063/1.1518688","title":"Monte Carlo calculation of second and third virial coefficients of linear and star polymers on lattice","year":2002,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Virial coefficient; Star polymer; Monte Carlo method; Lattice (music); Statistical physics; Thermodynamics; Polymer; Monte Carlo algorithm; Linear polymer; Virial theorem; Materials science; Physics; Mathematics; Quantum mechanics; Statistics; Copolymer; Nuclear magnetic resonance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000804029,0.00006991794,0.0001666863,0.00001620925,0.00001024318,0.000002959435,0.00006511814,0.00003578802,0.000005953487],"category_scores_gemma":[0.00001276446,0.00005140136,0.00003653096,0.00005514545,0.00006946214,0.00006575963,0.00001438492,0.0001415841,2.552304e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001241821,"about_ca_system_score_gemma":0.000003469672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002115496,"about_ca_topic_score_gemma":1.807767e-7,"domain_scores_codex":[0.9995353,0.00001599843,0.0002032058,0.00003278902,0.0001416121,0.00007111427],"domain_scores_gemma":[0.9996447,0.0001031603,0.0001046316,0.00007204977,0.00003574886,0.00003973366],"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":[0.0001416626,0.00006336763,0.00003002844,0.00005993987,0.00009363824,9.148341e-7,0.001116599,0.01028542,0.9865265,0.0001117107,0.00005357538,0.001516582],"study_design_scores_gemma":[0.001210431,0.0001348388,0.0001833958,0.00007793748,0.0001101605,0.00001181072,0.00003785489,0.626801,0.3707261,0.0005709305,0.00003795001,0.00009761567],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990774,0.0002591747,0.0002258339,0.00001576022,0.00006401942,0.00003204103,0.00001187191,0.000004327107,0.0003095412],"genre_scores_gemma":[0.9997631,0.000041465,0.00005709141,0.00001100565,0.0001100805,6.976985e-8,3.410891e-7,0.00001016871,0.000006665952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6165155,"threshold_uncertainty_score":0.2096087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062769585015786,"score_gpt":0.2105408806668525,"score_spread":0.1999131848166947,"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."}}