{"id":"W2078684071","doi":"10.1007/s11661-007-9137-2","title":"Thermodynamic Database Development of the Mg-Ce-Mn-Y System for Mg Alloy Design","year":2007,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions A","topic":"Metallurgical and Alloy Processes","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada","keywords":"Thermodynamics; Gibbs free energy; Phase diagram; Alloy; Formalism (music); CALPHAD; Materials science; Chemistry; Metallurgy; Phase (matter); Physics","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":[0.001444897,0.0003975703,0.0009683162,0.001333259,0.0006335386,0.001767822,0.002499426,0.0003708312,0.008783309],"category_scores_gemma":[0.004157254,0.0004698529,0.0007467926,0.001399825,0.0002184442,0.001450575,0.0007627226,0.0003868413,0.002136628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111082,"about_ca_system_score_gemma":0.002634049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009594025,"about_ca_topic_score_gemma":0.01920263,"domain_scores_codex":[0.9990722,0.0001769524,0.0001084943,0.0001250222,0.0004665967,0.00005065156],"domain_scores_gemma":[0.9991072,0.0001613494,0.00004687662,0.0002022434,0.0004551398,0.00002719129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006328963,0.0002659615,0.01075247,0.0009054468,0.0003378567,0.0004566986,0.0003362252,0.4277745,0.02162785,0.07230797,0.03106803,0.4335341],"study_design_scores_gemma":[0.00007495913,0.00007469752,0.00133703,0.00002604542,0.00006963119,0.0001298596,0.00007958384,0.9321667,0.02667375,0.01191406,0.02742075,0.00003296242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06247491,0.000627403,0.8965225,0.0003418043,0.0001040482,0.000507082,0.00782705,0.01933766,0.01225748],"genre_scores_gemma":[0.4574009,0.0005513174,0.5219226,0.00009547055,0.0000412844,0.0005446824,0.01192429,0.001503886,0.006015544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009594025,"threshold_uncertainty_score":0.02938312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335976635869627,"score_gpt":0.2507845930691655,"score_spread":0.2171869294822028,"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."}}