{"id":"W4391878740","doi":"10.1103/physrevmaterials.8.024407","title":"Insights into <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi>ε</mml:mi><mml:mtext>−</mml:mtext><mml:msub><mml:mrow><mml:mi>Fe</mml:mi></mml:mrow><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mrow><mml:mi mathvariant=\"normal\">O</mml:mi></mml:mrow><mml:mn>3</mml:mn></mml:msub></mml:math> interactions via Cr doping","year":2024,"lang":"lv","type":"article","venue":"Physical Review Materials","topic":"Multiferroics and related materials","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Manitoba","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; U.S. Department of Energy","keywords":"Crystallography; Ferrimagnetism; Physics; Doping; Materials science; Coupling (piping); Condensed matter physics; Magnetization; Chemistry; Quantum mechanics; Magnetic field","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":[0.001058756,0.0009664618,0.0003818526,0.002193504,0.0009294009,0.005428408,0.001288506,0.001301421,0.1639142],"category_scores_gemma":[0.002252029,0.0007042432,0.0006758844,0.001468515,0.0007663508,0.007626228,0.001143025,0.002996687,0.06412527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001929276,"about_ca_system_score_gemma":0.001277493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007451349,"about_ca_topic_score_gemma":0.01508501,"domain_scores_codex":[0.9994947,0.00008325023,0.00003273765,0.00006967874,0.0002202812,0.00009930773],"domain_scores_gemma":[0.999365,0.000235905,0.00004058917,0.0001344277,0.0001622564,0.00006176969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008950762,0.0001882176,0.0007331694,0.000411898,0.00001510071,0.00057695,0.001293106,0.002997179,0.02129558,0.5445703,0.2691408,0.1586883],"study_design_scores_gemma":[0.00001308134,0.00001536281,0.001155089,0.000154389,0.000006906647,0.0003294658,0.0006015609,0.008630503,0.00864618,0.1502516,0.8301557,0.00004016086],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01298121,0.003867639,0.2264419,0.0305479,0.001286057,0.0001443387,0.01449652,0.01090853,0.699326],"genre_scores_gemma":[0.178123,0.01661033,0.2524078,0.008464891,0.0006067259,0.0002843415,0.02394924,0.02138649,0.4981671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1639142,"threshold_uncertainty_score":0.5483475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02235618428418984,"score_gpt":0.2741874463761267,"score_spread":0.2518312620919368,"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."}}