{"id":"W1997439422","doi":"10.1007/s11837-012-0426-x","title":"Application of Thermodynamic Models for Better Understanding and Optimizing the Hall–Heroult Process","year":2012,"lang":"en","type":"article","venue":"JOM","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; Merck Canada Inc. (Canada); Aluminerie Alouette (Canada)","funders":"","keywords":"Cryolite; Lithium fluoride; Molten metal; Lithium (medication); Process engineering; Chemistry; Thermodynamics; Materials science; Metallurgy; Mechanical engineering; Physics; Engineering; Aluminium; Inorganic chemistry","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":[0.000134657,0.00008329267,0.0001056506,0.00001851845,0.00004902569,0.00001454259,0.00008252276,0.00005040298,0.000003515773],"category_scores_gemma":[0.000003534423,0.00005524943,0.000030486,0.0000602344,0.00002680777,0.0001689014,0.00001207356,0.00006395255,6.203811e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002942612,"about_ca_system_score_gemma":0.000002782614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003747036,"about_ca_topic_score_gemma":0.000002717083,"domain_scores_codex":[0.9995764,0.000005286995,0.0001221746,0.00007155995,0.00007125032,0.000153322],"domain_scores_gemma":[0.999752,0.0000595921,0.00003510555,0.0001036076,0.00001814251,0.00003156209],"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":[0.00003745803,0.00006218159,0.000120905,0.001227546,0.0001778218,1.32164e-7,0.003269352,0.6908545,0.01483217,0.2781452,0.00001646388,0.01125625],"study_design_scores_gemma":[0.000121342,0.000006059365,0.00004920716,0.00001069244,0.00002142601,0.000001296151,0.0002546247,0.9574574,0.0001114865,0.04185165,0.00004325427,0.00007151579],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1364036,0.0003993489,0.8605065,0.00006822537,0.00003756861,0.0002071877,0.00000430945,0.00004085322,0.002332423],"genre_scores_gemma":[0.9981384,0.00003958262,0.001652048,0.00002973775,0.00005258284,0.00005125953,0.000004723149,0.00002426337,0.000007429772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8617347,"threshold_uncertainty_score":0.2253006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973993949812234,"score_gpt":0.2418061683509456,"score_spread":0.2120662288528232,"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."}}