{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002096151,0.00106076,0.0008639815,0.0002071436,0.001362658,0.001185613,0.002332584,0.0007688023,0.1040682],"category_scores_gemma":[0.002248511,0.001574423,0.001803043,0.002275498,0.001272835,0.00129685,0.002003979,0.001361675,0.01329529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000201296,"about_ca_system_score_gemma":0.001088351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000602229,"about_ca_topic_score_gemma":0.0001616029,"domain_scores_codex":[0.9901521,0.0006972239,0.002074368,0.002278859,0.002375193,0.002422272],"domain_scores_gemma":[0.9920084,0.001466212,0.002172952,0.002937317,0.0002852059,0.001129952],"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":[0.0002219877,0.0006030494,0.000003676088,0.008249626,0.000496124,0.0003313991,0.000608363,0.0001699175,0.09558975,0.6556153,0.2345772,0.003533571],"study_design_scores_gemma":[0.0008404951,0.001248026,0.00005553639,0.009460852,0.002475948,0.0003482282,0.0002911045,0.01413188,0.9500494,0.0019233,0.01739811,0.001777098],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9074757,0.00804242,0.0004071292,0.002123466,0.001649218,0.000185723,0.000338879,0.0003543894,0.07942314],"genre_scores_gemma":[0.9618223,0.02696866,0.001248284,0.002894646,0.002888945,0.002569425,0.00073695,0.0006601855,0.0002106086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8544596,"threshold_uncertainty_score":0.9999374,"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."}}