{"id":"W3163913251","doi":"10.1103/physrevmaterials.5.064417","title":"Understanding magnetic phase coexistence in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:msub><mml:mi>Ru</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi>Mn</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mi>Fe</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:mi>Sn</mml:mi></mml:mrow></mml:math> Heusler alloys: A neutron scattering, thermodynamic, and phenomenological analysis","year":2021,"lang":"lv","type":"article","venue":"Physical Review Materials","topic":"Shape Memory Alloy Transformations","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Minnesota; U.S. Department of Energy; National Science Foundation","keywords":"Ferromagnetism; Neutron scattering; Antiferromagnetism; Phase diagram; Neutron diffraction; Phase (matter); Magnetometer; Magnetic structure; Phenomenological model","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":[0.0001661463,0.0001587621,0.0002281581,0.0007467374,0.0003648661,0.0006541599,0.0003704028,0.0004009593,0.002983991],"category_scores_gemma":[0.0005596493,0.0001936965,0.0001867087,0.0002873073,0.0005504361,0.001210804,0.0002825829,0.0002816026,0.0003346526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004714408,"about_ca_system_score_gemma":0.0003002128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967774,"about_ca_topic_score_gemma":0.003376478,"domain_scores_codex":[0.9999429,0.00001074151,0.000002843526,0.00001886579,0.00001375444,0.00001096436],"domain_scores_gemma":[0.9998603,0.00005737099,0.00002974583,0.00001579786,0.00002390172,0.00001275298],"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":[0.000974378,0.0002970803,0.01096646,0.0006063128,0.00006790436,0.0006533659,0.0009249319,0.038566,0.7027851,0.1990267,0.00388398,0.04124764],"study_design_scores_gemma":[0.0001186404,0.0002219049,0.02187823,0.0000563028,0.00005527492,0.0003856863,0.0008175382,0.5392528,0.2685351,0.1579988,0.0106181,0.00006176686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590881,0.0008367344,0.03015487,0.0003884992,0.00002614654,0.00003011496,0.0002605351,0.0004172478,0.008797591],"genre_scores_gemma":[0.9893855,0.0002542664,0.007686757,0.00004264601,0.00001113714,0.00002243276,0.0002429624,0.00006868321,0.002285578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002983991,"threshold_uncertainty_score":0.009982407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03806498978293338,"score_gpt":0.2742199824879993,"score_spread":0.236154992705066,"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."}}