{"id":"W3097953827","doi":"10.1007/s11663-020-01995-6","title":"Thermodynamic Modeling of Ni-C, Co-C, and Ni-Co-C Liquid Alloys Using the Modified Quasichemical Model","year":2020,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Business Finland; Aalto-Yliopisto; Academy of Finland","keywords":"Ternary operation; Thermodynamics; Solubility; Gibbs free energy; Enthalpy; Materials science; Ternary numeral system; Alloy; Physical chemistry; Chemistry; Metallurgy; Physics","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":[0.0001874304,0.0002689123,0.0005241801,0.0000336818,0.0001395139,0.00008115928,0.0001639794,0.0001673957,0.0002068963],"category_scores_gemma":[0.000007404456,0.0001962482,0.00009522992,0.0001191941,0.0001532677,0.0001630805,0.00001630607,0.0002044508,0.000002752667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001380408,"about_ca_system_score_gemma":0.00001541085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005958872,"about_ca_topic_score_gemma":0.000004926956,"domain_scores_codex":[0.9986967,0.00005165759,0.0004961742,0.0002943557,0.0001934179,0.0002676455],"domain_scores_gemma":[0.9995478,0.00004002347,0.00005202585,0.0001549284,0.00003401878,0.0001711631],"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":[0.0001337753,0.0000316371,1.843389e-8,0.0002020939,0.0001104294,0.000002855418,0.0001938925,0.7352817,0.2626405,0.001328074,5.194727e-7,0.00007452096],"study_design_scores_gemma":[0.0004338494,0.0000460865,0.00000104485,0.00002056224,0.0001618495,0.00002529396,0.00005622142,0.9943657,0.004052079,0.0005699588,0.00003440353,0.0002329336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4821562,0.00023819,0.51697,0.00006723204,0.00004278572,0.0001213495,0.00004859286,0.00007237589,0.0002832722],"genre_scores_gemma":[0.9979447,0.0007637571,0.001069325,0.00006754934,0.00004800885,0.00001948991,0.00001663096,0.00004872565,0.00002187447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5159007,"threshold_uncertainty_score":0.8002771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03458243335540519,"score_gpt":0.2454243265521712,"score_spread":0.2108418931967661,"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."}}