{"id":"W4233084710","doi":"10.1149/ma2009-01/25/1016","title":"Industrial Aluminium Production: the Hall-Heroult Process Modelling","year":2009,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Aluminium; Production (economics); Metallurgy; Process (computing); Materials science; Computer science","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":[0.0006277994,0.0001709562,0.0001502097,0.00003910193,0.000196488,0.00008919717,0.0001850445,0.0001336455,0.00002089734],"category_scores_gemma":[0.0001318716,0.0001342895,0.00004170273,0.0001387132,0.00002249047,0.0002239642,0.000009898384,0.0003319742,0.00005959168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002527792,"about_ca_system_score_gemma":0.00002412099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001763657,"about_ca_topic_score_gemma":0.000002421283,"domain_scores_codex":[0.9989254,0.00001984293,0.0003368259,0.0001913647,0.0002099945,0.0003165146],"domain_scores_gemma":[0.9995673,0.00003458101,0.00007429492,0.0002116902,0.00004687319,0.00006529326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001220609,0.00001430939,0.000005450701,0.00002364581,0.00001372222,0.000004486874,0.0004776429,0.9837319,0.01419275,0.00002462286,0.0004149705,0.001084334],"study_design_scores_gemma":[0.0006109488,0.00008574287,0.0003058811,0.0004736672,0.00008476966,0.00008883696,0.0005847354,0.07704613,0.8907965,0.002235438,0.02689665,0.0007907082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.909336,0.00009401442,0.00006122653,0.0003848551,0.002140044,0.0001874493,8.019964e-7,0.0003816069,0.08741397],"genre_scores_gemma":[0.9974593,0.00001702452,0.0004365369,0.00003646928,0.001755921,0.000009666618,0.000005041612,0.00002415676,0.0002558846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9066857,"threshold_uncertainty_score":0.5476167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03633908530807023,"score_gpt":0.2360494475339952,"score_spread":0.199710362225925,"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."}}