{"id":"W3010759490","doi":"10.1063/1.5144153","title":"Analysis of the magnetic and magnetocaloric properties of ALaFeMnO6 (A = Sr, Ba, and Ca) double perovskites","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Magnetic and transport properties of perovskites and related materials","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Institut quantique; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Canada Foundation for Innovation; Compute Canada","keywords":"Magnetic refrigeration; Materials science; Condensed matter physics; Strontium; Magnetization; Chemistry; Magnetic field; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001722305,0.0001457452,0.0005721963,0.00004503336,0.00006091232,0.00003721808,0.0002158448,0.00006261206,0.0002783042],"category_scores_gemma":[0.000006519755,0.00008043041,0.0001282913,0.0002942876,0.0003356231,0.00009010969,0.00007462825,0.000111458,0.000001527817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004659639,"about_ca_system_score_gemma":0.00004856199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000376058,"about_ca_topic_score_gemma":0.000002595315,"domain_scores_codex":[0.9987968,0.00002052133,0.0005927661,0.000149524,0.0002985449,0.0001418161],"domain_scores_gemma":[0.9991385,0.00002276629,0.00046941,0.0001430113,0.0001334157,0.00009291957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005055825,0.00007428636,0.0006356148,0.0003271369,0.0001889069,0.000001391224,0.002437527,0.002385036,0.9919313,0.0004748556,0.00004551082,0.0009928279],"study_design_scores_gemma":[0.002014071,0.001001921,0.00568445,0.000136887,0.003455913,0.000008589451,0.0009615042,0.002138723,0.9831132,0.0005308148,0.000668071,0.0002859034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965284,0.002530599,0.00004117038,0.0001832658,0.00008605434,0.0001559061,0.00001639367,0.000004436879,0.0004537084],"genre_scores_gemma":[0.9988481,0.0006146137,0.0003254787,0.00008149048,0.00008162727,0.000002590152,0.000001024016,0.00001037907,0.00003472745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008818172,"threshold_uncertainty_score":0.3279857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527680210173904,"score_gpt":0.1879950791168633,"score_spread":0.1727182770151242,"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."}}