{"id":"W4414784797","doi":"10.1103/n43y-qknx","title":"Weak itinerant ferromagnetism in MAX phase compound <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:msub> <mml:mi>Cr</mml:mi> <mml:mrow> <mml:mn>1.9</mml:mn> </mml:mrow> </mml:msub> <mml:msub> <mml:mi>Fe</mml:mi> <mml:mrow> <mml:mn>0.1</mml:mn> </mml:mrow> </mml:msub> <mml:mi>GeC</mml:mi> </mml:mrow> </mml:math>","year":2025,"lang":"lv","type":"article","venue":"Physical Review Materials","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environmental Studies Research Funds; Hiroshima University","keywords":"Ferromagnetism; Magnetism; Magnetic moment; Pauli exclusion principle; Phase (matter); Doping; Atom (system on chip); Heusler compound","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.007694309,0.002911548,0.001771098,0.001501187,0.003345462,0.005629456,0.006770547,0.004409093,0.8323663],"category_scores_gemma":[0.004611341,0.00552424,0.004543103,0.003475706,0.004347756,0.00418537,0.006315015,0.003101424,0.01050841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007494929,"about_ca_system_score_gemma":0.004312431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005630099,"about_ca_topic_score_gemma":0.0025838,"domain_scores_codex":[0.9721307,0.003010736,0.006656757,0.005390769,0.005891776,0.006919323],"domain_scores_gemma":[0.9798853,0.003709776,0.006151737,0.006577632,0.0005841222,0.003091403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003463777,0.001423475,0.000005727659,0.008150082,0.002040611,0.003291124,0.001585326,0.0004460046,0.122651,0.2615905,0.5921846,0.003167891],"study_design_scores_gemma":[0.005820614,0.003562901,0.00006855292,0.008732921,0.004689635,0.002127618,0.001270597,0.00210749,0.9362785,0.0009226001,0.02960198,0.004816561],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5039555,0.00681458,0.0004805101,0.002305347,0.009281659,0.0002315583,0.002421109,0.0006328583,0.4738768],"genre_scores_gemma":[0.9580632,0.01283245,0.002466884,0.005862394,0.006498481,0.005699021,0.005365076,0.00214158,0.00107089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8218579,"threshold_uncertainty_score":0.9991984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461901484243217,"score_gpt":0.2816225469171024,"score_spread":0.2570035320746702,"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."}}