{"id":"W2027256343","doi":"10.3139/146.101541","title":"Thermodynamic optimisation of the FeO–Fe<sub>2</sub>O<sub>3</sub>–SiO<sub>2</sub> (Fe–O–Si) system with FactSage","year":2007,"lang":"en","type":"article","venue":"International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde)","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Liquidus; Materials science; Thermodynamics; Wüstite; Thermodynamic process; Gibbs free energy; Ternary operation; Phase diagram; Ternary numeral system; CALPHAD; Thermodynamic databases for pure substances; Spinel; Oxide; Material properties; Phase (matter); Metallurgy; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006393652,0.0007349439,0.001149108,0.001072806,0.0002904642,0.0005601032,0.002081906,0.000437931,0.00006928566],"category_scores_gemma":[0.0003937285,0.0004989422,0.0005298299,0.0007983972,0.0004217424,0.00132403,0.0003641901,0.001294835,0.00009024422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003887096,"about_ca_system_score_gemma":0.0004193433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000463511,"about_ca_topic_score_gemma":0.0001276142,"domain_scores_codex":[0.9911739,0.0005744672,0.002347058,0.0005489177,0.004156956,0.001198665],"domain_scores_gemma":[0.9945639,0.0006545971,0.001154726,0.0006759488,0.002470782,0.0004800881],"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":[0.0009973178,0.0002023393,0.00001770082,0.000531738,0.001351969,0.0001805152,0.0002862527,0.009914443,0.9733636,0.005188012,0.00003650429,0.007929597],"study_design_scores_gemma":[0.001947299,0.0005048523,0.003816151,0.001049167,0.0001650815,0.0006545282,0.0005310128,0.0148942,0.9749399,0.0004851288,0.0004138299,0.0005987824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608884,0.0004382503,0.03274145,0.0001820408,0.002111103,0.0007775777,0.0001492333,0.0001098256,0.002602117],"genre_scores_gemma":[0.9974381,0.001097137,0.0003648422,0.00004619685,0.0007394323,0.00003400506,0.00005847135,0.0002041929,0.00001760212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03654971,"threshold_uncertainty_score":0.9997462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190964492352245,"score_gpt":0.2698377526653265,"score_spread":0.250741303430102,"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."}}