{"id":"W4388127399","doi":"10.1103/physrevb.108.174402","title":"Semiconducting <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:msub><mml:mi>Cr</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:mi>BN</mml:mi></mml:mrow></mml:math> monolayer with antiferromagnetic order","year":2023,"lang":"lv","type":"article","venue":"Physical review. B./Physical review. B","topic":"2D Materials and Applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Postdoctoral Science Foundation of Jiangsu Province; Natural Science Foundation of Hebei Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Antiferromagnetism; Crystallography; Magnetic moment; Materials science; Ionic bonding; Spintronics; Coupling (piping); Condensed matter physics; Physics; Chemistry; Ferromagnetism; Ion","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":[0.00005552281,0.0002111629,0.0001643902,0.0002071218,0.0002400365,0.0005255215,0.0003427354,0.0003098143,0.02086253],"category_scores_gemma":[0.0001175065,0.0001494037,0.0001165667,0.0002780071,0.0001123588,0.0003844551,0.0001979645,0.0002736178,0.008817378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003462049,"about_ca_system_score_gemma":0.0001802113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008084776,"about_ca_topic_score_gemma":0.002612543,"domain_scores_codex":[0.9999514,0.000005097098,0.000003234683,0.000009912827,0.00002241834,0.000007937299],"domain_scores_gemma":[0.9999661,0.000005260164,0.000003971924,0.000009494082,0.00001034557,0.000004848761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008171199,0.00004307266,0.0002530307,0.0002365062,0.00001030244,0.0001209169,0.00005733694,0.0007201382,0.9189529,0.01891108,0.02339394,0.03721916],"study_design_scores_gemma":[0.00004907379,0.0001106237,0.002029074,0.00003394613,0.00001799251,0.0002821872,0.00008169714,0.01850047,0.7797412,0.004247365,0.1948807,0.00002563698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5837665,0.002393685,0.07517006,0.002930463,0.000639779,0.0001995649,0.01210794,0.01029134,0.3125007],"genre_scores_gemma":[0.7876447,0.002322231,0.07695038,0.0007534564,0.00007815941,0.0002160526,0.0100394,0.001986337,0.1200092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02086253,"threshold_uncertainty_score":0.06979209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667286432551256,"score_gpt":0.29664702096503,"score_spread":0.2699741566395175,"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."}}