{"id":"W2067509543","doi":"10.1016/j.calphad.2009.11.004","title":"Thermodynamic modeling of the Al–Bi, Al–Sb, Mg–Al–Bi and Mg–Al–Sb systems","year":2009,"lang":"en","type":"article","venue":"Calphad","topic":"Metallurgical Processes and Thermodynamics","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada","keywords":"Antimony; Thermodynamics; Aluminium; Materials science; Metallurgy; 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":[0.0003253967,0.0002386598,0.0005976002,0.0005546628,0.0008156935,0.0008912763,0.0008858222,0.0005126821,0.003202765],"category_scores_gemma":[0.0005427499,0.0003237938,0.000431576,0.0005370045,0.000584351,0.000704055,0.000530899,0.0003685461,0.0003911807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455445,"about_ca_system_score_gemma":0.0008885865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007101988,"about_ca_topic_score_gemma":0.006945564,"domain_scores_codex":[0.9998766,0.00002652549,0.000006310699,0.00001367273,0.00005485714,0.00002198296],"domain_scores_gemma":[0.9998789,0.00004639927,0.00001038219,0.00001566774,0.00003307798,0.00001551592],"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":[0.00008725428,0.00007554903,0.001241123,0.00009812602,0.00002945036,0.0001063153,0.00005915192,0.9093282,0.013881,0.06933423,0.0006919346,0.005067708],"study_design_scores_gemma":[0.000008240309,0.000009963959,0.000328444,0.000002342634,0.000003383933,0.00001110457,0.000009215455,0.9928946,0.00201444,0.003805551,0.0009065539,0.000006157855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8365664,0.00253112,0.08802377,0.001205802,0.0001451791,0.0000942146,0.0008251678,0.0002733677,0.07033485],"genre_scores_gemma":[0.9898031,0.0003285744,0.004015296,0.00003821628,0.0000193418,0.00005395113,0.0001896231,0.00003713354,0.005514655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007101988,"threshold_uncertainty_score":0.01412129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00999540979620629,"score_gpt":0.2129711491027761,"score_spread":0.2029757393065698,"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."}}