{"id":"W2969819027","doi":"10.1016/j.jnucmat.2019.151756","title":"On the interpretation of chemical potentials computed from equilibrium thermodynamic codes: Applications to molten salts","year":2019,"lang":"en","type":"article","venue":"Journal of Nuclear Materials","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Interpretation (philosophy); Thermodynamics; Chemical thermodynamics; Thermodynamic equilibrium; Chemistry; Chemical equilibrium; Materials science; Physical chemistry; Non-equilibrium thermodynamics; Physics; Computer science","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":[0.001400249,0.0006778092,0.0007657508,0.00105252,0.001107635,0.002327039,0.002098345,0.001198518,0.003645536],"category_scores_gemma":[0.007967827,0.0004329373,0.0007579214,0.001008707,0.002039434,0.003177524,0.002304649,0.001711524,0.0006843184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008266376,"about_ca_system_score_gemma":0.0009790536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003679351,"about_ca_topic_score_gemma":0.003693864,"domain_scores_codex":[0.9995174,0.0002062653,0.00003530156,0.00003875795,0.0001682614,0.00003408206],"domain_scores_gemma":[0.9980509,0.001154038,0.00008910842,0.0002407954,0.0004029793,0.00006212156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008957334,0.00004932295,0.000608232,0.000125483,0.00002210584,0.0002261176,0.0002403672,0.185486,0.00471189,0.7780249,0.0018485,0.02856747],"study_design_scores_gemma":[0.00001063864,0.00001111118,0.000128156,0.00002422737,0.000004100967,0.00002958988,0.00004122748,0.7235153,0.001588017,0.2726281,0.002003629,0.0000160073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09653603,0.002256649,0.8749712,0.001776676,0.0009424128,0.00006593092,0.0002373967,0.0007610985,0.02245253],"genre_scores_gemma":[0.810279,0.00241729,0.1762145,0.0004092729,0.0006495296,0.000110608,0.0002841403,0.001379982,0.008255776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003679351,"threshold_uncertainty_score":0.01219553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006507597101409804,"score_gpt":0.2117299858652198,"score_spread":0.20522238876381,"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."}}