{"id":"W2047460211","doi":"10.1103/physrevb.80.064420","title":"Magnetic phase diagram of magnetoelectric<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:mrow><mml:msub><mml:mrow><mml:mtext>CuFeO</mml:mtext></mml:mrow><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:math>in high magnetic fields","year":2009,"lang":"lv","type":"article","venue":"Physical Review B","topic":"Multiferroics and related materials","field":"Materials Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique","keywords":"Phase diagram; Phase boundary; Condensed matter physics; Physics; Phase (matter); Boundary (topology); Phase transition; Mathematical analysis; Quantum mechanics; 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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001965734,0.00102711,0.0007765876,0.0003505244,0.0007170312,0.0009620996,0.002172769,0.001624505,0.3011203],"category_scores_gemma":[0.002020375,0.001566764,0.001693379,0.001418682,0.001199569,0.0009294077,0.001132573,0.001489073,0.003522954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000207203,"about_ca_system_score_gemma":0.0009917335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001475829,"about_ca_topic_score_gemma":0.0003554245,"domain_scores_codex":[0.9902233,0.0006838115,0.002499264,0.001913235,0.002228865,0.002451564],"domain_scores_gemma":[0.9929433,0.001421497,0.001991491,0.002419364,0.0001975214,0.001026765],"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":[0.001244445,0.001646288,0.000003905152,0.006362883,0.0004470175,0.001413523,0.001127254,0.0005456026,0.05747328,0.8100355,0.09588876,0.02381149],"study_design_scores_gemma":[0.002560664,0.005266817,0.0001815443,0.004667408,0.002118509,0.0004850553,0.0001841296,0.09518792,0.8818397,0.0003517814,0.00538975,0.001766744],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8246626,0.016504,0.0002336016,0.001425633,0.002568742,0.0001493482,0.0004109152,0.0001703607,0.1538748],"genre_scores_gemma":[0.9701213,0.02244669,0.001150941,0.00188031,0.001983547,0.0008328295,0.0007058346,0.0004137251,0.0004648291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8243664,"threshold_uncertainty_score":0.9996716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697514167444551,"score_gpt":0.2711997586552437,"score_spread":0.2542246169807982,"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."}}