{"id":"W4386072854","doi":"10.11159/mmme23.114","title":"Effect Of Lanthanides On The Mineralogical Composition Of Portland Clinker Accessed By Thermodynamic Modelling","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Pesquisa do Estado da Bahia; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Clinker (cement); Portland cement; Lanthanide; Composition (language); Materials science; Metallurgy; Mineralogy; Thermodynamics; Geology; Chemistry; Physics; Cement; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002539056,0.0001795082,0.0003116835,0.00007950991,0.00003693754,0.00003616871,0.0002220193,0.00008306008,0.00002096949],"category_scores_gemma":[0.00004901792,0.0001097745,0.00007059671,0.0002418762,0.00004552826,0.00007931989,0.00004758715,0.0001544004,9.735966e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001198358,"about_ca_system_score_gemma":0.000002862353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000246327,"about_ca_topic_score_gemma":1.834188e-7,"domain_scores_codex":[0.9991404,0.00000760349,0.0003489559,0.0001521229,0.0001977659,0.0001530931],"domain_scores_gemma":[0.9994521,0.0002405748,0.0001227226,0.00008796366,0.00005794774,0.00003867899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001435484,0.00001941625,0.000005704453,0.0005304193,0.00003393698,1.539605e-7,0.000006607042,0.008315276,0.987673,0.002527073,0.0006889242,0.00005590548],"study_design_scores_gemma":[0.0002263129,0.00006243264,0.000004324833,0.0002507392,0.00002522493,0.000001232512,0.000007743347,0.1515645,0.8475166,0.0001197412,0.0001283479,0.00009277745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998838,0.000009172601,0.00001632752,0.00009507634,0.0003224357,0.0002034446,0.00002971968,0.0001258144,0.000360005],"genre_scores_gemma":[0.9996494,0.0001052303,0.00005400088,0.00001497586,0.00004695028,0.00003055601,0.0000105902,0.00002629481,0.00006198741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1432493,"threshold_uncertainty_score":0.4476474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0090456134877453,"score_gpt":0.2230026513042696,"score_spread":0.2139570378165243,"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."}}