{"id":"W268734294","doi":"10.1016/j.calphad.2015.04.006","title":"Thermodynamic description of the Ag–(Ca, Li, Zn) and Ca–(In, Li) binary systems","year":2015,"lang":"en","type":"article","venue":"Calphad","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"General Motors of Canada","keywords":"Binary number; Thermodynamics; Intermetallic; Binary system; Materials science; Chemistry; Physics; Metallurgy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002801541,0.00007915132,0.0001238473,0.00002519136,0.00005882263,0.00004212144,0.0001983997,0.00005077068,0.00006225],"category_scores_gemma":[0.00002711784,0.00004975839,0.00002189566,0.0001107174,0.0001172702,0.0001010743,0.00009150508,0.00005102041,0.00005937275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004335865,"about_ca_system_score_gemma":0.00004874992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411938,"about_ca_topic_score_gemma":0.00009134566,"domain_scores_codex":[0.9992931,0.00007140032,0.000191792,0.0001663403,0.000136886,0.0001404934],"domain_scores_gemma":[0.9995006,0.00001598748,0.00007417495,0.0002906827,0.00006217784,0.00005636084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002560227,0.00006568883,0.001900383,0.00009914734,0.000002004464,0.00000166255,0.0005950874,0.0003153418,0.9919479,0.00240176,0.002282661,0.0003627977],"study_design_scores_gemma":[0.005703626,0.001211388,0.3616713,0.001065381,0.0002376435,0.0002219608,0.01309225,0.4441606,0.07822665,0.006986157,0.08533546,0.002087597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994859,0.001195554,0.0001053845,0.000331968,0.000337602,0.0002947996,0.00001654873,0.00001870575,0.002840476],"genre_scores_gemma":[0.9978443,0.00002196019,0.00004039704,0.00005121705,0.00004672131,0.00006303306,0.000002455843,0.000008533053,0.001921394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9137212,"threshold_uncertainty_score":0.2134437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378302735670508,"score_gpt":0.2304812176114926,"score_spread":0.1966981902547875,"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."}}