{"id":"W3160118773","doi":"10.1007/s11669-021-00886-w","title":"Derivations of Partial Molar Excess Gibbs Energy of Mixing Expressions for Common Thermodynamic Models","year":2021,"lang":"en","type":"article","venue":"Journal of Phase Equilibria and Diffusion","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Gibbs free energy; Thermodynamics; Mixing (physics); Gibbs–Helmholtz equation; Molar; Chemistry; Materials science; Physics; Geology","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":[0.0001621554,0.0001706692,0.0004965492,0.0001529733,0.00005826391,0.00002106909,0.0001590166,0.0001117885,0.00002446879],"category_scores_gemma":[0.00004387256,0.0001524809,0.0002072265,0.0001646629,0.00005713429,0.000422926,0.00007466468,0.0001174388,5.840177e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002603278,"about_ca_system_score_gemma":0.00008278166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009269164,"about_ca_topic_score_gemma":0.00000664089,"domain_scores_codex":[0.9986504,0.00005852793,0.0007557418,0.0001236076,0.0002210679,0.0001906554],"domain_scores_gemma":[0.9990098,0.000217565,0.0002454465,0.0002127953,0.0001813823,0.0001330523],"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":[0.0001887319,0.0003377101,0.00005944686,0.0001286168,0.0000997669,0.00001389799,0.0002559828,0.003584753,0.985987,0.006550494,0.00003007424,0.002763511],"study_design_scores_gemma":[0.002872826,0.0001704657,0.00005858341,0.0002812349,0.0001081528,0.00004832121,0.00009772701,0.8108647,0.1706167,0.01464933,0.00009794981,0.0001339856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8183944,0.001085733,0.1797537,0.00002616363,0.0002857221,0.00006660597,0.00007718838,0.00001631988,0.0002940879],"genre_scores_gemma":[0.998102,0.0003081303,0.001368216,0.0000105992,0.00012309,0.000004484416,0.00003115431,0.00003642588,0.0000159038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8153703,"threshold_uncertainty_score":0.6217991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179522193388589,"score_gpt":0.2670114981154266,"score_spread":0.2490592787765677,"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."}}