{"id":"W2768262513","doi":"10.3390/magnetochemistry3040036","title":"Analysis of the Anisotropic Magnetocaloric Effect in RMn2O5 Single Crystals","year":2017,"lang":"en","type":"article","venue":"Magnetochemistry","topic":"Multiferroics and related materials","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research; Regroupement Québécois sur les Matériaux de Pointe; Institut quantique; Université de Sherbrooke","funders":"Canada First Research Excellence Fund; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Magnetic refrigeration; Condensed matter physics; Multiferroics; Demagnetizing field; Adiabatic process; Anisotropy; Magnetic field; Magnetization; Magnetic anisotropy; Materials science; Physics; Optics; Thermodynamics; Quantum mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003793467,0.0001689158,0.0004387971,0.00006337999,0.0001838017,0.0001499105,0.0008430635,0.000167013,0.001606832],"category_scores_gemma":[0.0002783189,0.0001130506,0.0001738963,0.0002059308,0.000233111,0.00008035655,0.0002961002,0.000104554,0.0000198945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005201046,"about_ca_system_score_gemma":0.00003493962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003334058,"about_ca_topic_score_gemma":0.00005040996,"domain_scores_codex":[0.9986838,0.00006989932,0.0003948931,0.0003198698,0.0002555347,0.0002760766],"domain_scores_gemma":[0.9982552,0.00006600682,0.0003843426,0.00119472,0.00004420044,0.0000555264],"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":[0.00002862175,0.00005097796,0.01349965,0.00008996764,0.00002997993,0.000007586556,0.00004397595,0.0001957726,0.9857365,0.00001603338,0.00009056131,0.0002103657],"study_design_scores_gemma":[0.0004467063,0.00005993021,0.06428336,0.0000478275,0.0002525108,0.000001666312,0.00001172917,0.0004265206,0.9340812,0.00008832444,0.0001584409,0.000141791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992908,0.0001688715,0.00000931965,0.00009170615,0.0003834573,0.0002001654,0.00003911237,0.0000201986,0.006179193],"genre_scores_gemma":[0.9986978,0.00001074683,0.00008440798,0.00002109795,0.00005605061,0.00002469877,0.000006462165,0.00001174407,0.001087055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05165531,"threshold_uncertainty_score":0.9993058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109248313445063,"score_gpt":0.2489021190160098,"score_spread":0.2379772876715035,"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."}}