{"id":"W2071177498","doi":"10.1179/cmq.2005.44.4.523","title":"THERMODYNAMIC MODELLING OF THE Mg-Al-Ca SYSTEM","year":2005,"lang":"en","type":"article","venue":"Canadian Metallurgical Quarterly","topic":"Metallurgical and Alloy Processes","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Gibbs free energy; Thermodynamics; Phase diagram; Ternary operation; Chemistry; Ternary numeral system; Base (topology); Phase (matter); Phase equilibrium; Physical chemistry; Physics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002368755,0.000286525,0.0006969483,0.0007999635,0.0006962293,0.0008064217,0.001307059,0.0004896604,0.002557829],"category_scores_gemma":[0.0006675709,0.0002376937,0.0003858618,0.0007778113,0.0003652887,0.001018189,0.0003631126,0.0003148309,0.0006940005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061457,"about_ca_system_score_gemma":0.001360906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008556239,"about_ca_topic_score_gemma":0.00797544,"domain_scores_codex":[0.9997826,0.00002841819,0.00001286984,0.00004457687,0.0001120764,0.00001946981],"domain_scores_gemma":[0.9998835,0.00003350046,0.00001324925,0.00001783695,0.00004529967,0.000006601754],"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":[0.00008222747,0.00008359337,0.001511192,0.0002178368,0.00003126293,0.0001799078,0.00008065158,0.8776659,0.0499168,0.05863432,0.0006777404,0.01091854],"study_design_scores_gemma":[0.00001125736,0.00002091461,0.0006738276,0.000005260015,0.00001010843,0.00005073259,0.00001774338,0.9765806,0.010725,0.006829539,0.005062318,0.00001263133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.61524,0.002897112,0.3119881,0.0003534383,0.0000968936,0.0003858521,0.003609566,0.0009237539,0.06450532],"genre_scores_gemma":[0.9612303,0.0006839437,0.03037817,0.0000293963,0.00001471701,0.0002245549,0.0008113389,0.00008512746,0.006542542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008556239,"threshold_uncertainty_score":0.01701289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713653603752811,"score_gpt":0.2020195974917454,"score_spread":0.1848830614542173,"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."}}