{"id":"W2019402599","doi":"10.2320/matertrans.mra2008484","title":"Thermodynamic Description of the Mg-Mn, Al-Mn and Mg-Al-Mn Systems Using the Modified Quasichemical Model for the Liquid Phases","year":2009,"lang":"en","type":"article","venue":"MATERIALS TRANSACTIONS","topic":"Metallurgical and Alloy Processes","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermodynamics; Extrapolation; Ternary operation; Phase diagram; Work (physics); Materials science; Ternary numeral system; CALPHAD; Spinodal decomposition; Binary number; Phase (matter); Chemistry; Physics; Mathematics; Computer science; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002136925,0.0003730064,0.0005267707,0.000488304,0.0004397608,0.0004824863,0.001333492,0.0004279549,0.001481339],"category_scores_gemma":[0.0002591185,0.0002471876,0.0005586449,0.000323554,0.0003882286,0.001072505,0.0002856968,0.0004303045,0.0005204503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005960015,"about_ca_system_score_gemma":0.0007699655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001227667,"about_ca_topic_score_gemma":0.001833451,"domain_scores_codex":[0.9998853,0.00001847972,0.000007951312,0.00001684488,0.00006016898,0.00001121555],"domain_scores_gemma":[0.9999202,0.00001997408,0.00001424729,0.00001827165,0.00002242339,0.000004825566],"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":[0.00007488164,0.0001392547,0.001432678,0.000372125,0.00005138962,0.0004226998,0.0001193282,0.5950431,0.1715632,0.2125222,0.001150975,0.0171082],"study_design_scores_gemma":[0.000007425619,0.00003540231,0.0003680781,0.000003811465,0.000007291919,0.00006264258,0.000009399672,0.9765995,0.008895074,0.01175872,0.002241382,0.00001123399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.275271,0.002137019,0.7034661,0.0004634444,0.0002299796,0.0003280188,0.001040888,0.0005112036,0.01655239],"genre_scores_gemma":[0.9069512,0.001234835,0.07790998,0.0001400938,0.00009495416,0.0005933514,0.0007396903,0.0001583295,0.01217741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001481339,"threshold_uncertainty_score":0.00495553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06268063954323251,"score_gpt":0.2819335770042703,"score_spread":0.2192529374610378,"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."}}