{"id":"W4390198821","doi":"10.1016/j.carbon.2023.118769","title":"Magnetic heterostructure of graphene with a submonolayer magnet on silicon","year":2023,"lang":"en","type":"article","venue":"Carbon","topic":"Graphene research and applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Russian Science Foundation","keywords":"Graphene; Spintronics; Heterojunction; Materials science; Condensed matter physics; Magnet; Magnetism; Silicon; Graphene nanoribbons; Magnetic semiconductor; Semiconductor; Ferromagnetism; Nanotechnology; Optoelectronics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001012695,0.00009367699,0.0001221447,0.0001261864,0.00003958547,0.00002100967,0.0001775589,0.00003993382,0.0001364217],"category_scores_gemma":[0.00001491346,0.00006907022,0.00003255001,0.0005339378,0.000109261,0.00002440634,0.00003449044,0.00006962129,0.000054039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008365934,"about_ca_system_score_gemma":0.00002550514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008439869,"about_ca_topic_score_gemma":0.00002601925,"domain_scores_codex":[0.9991154,0.00003233419,0.0001129201,0.0002253551,0.0002502787,0.0002637318],"domain_scores_gemma":[0.9994401,0.00003960186,0.00003803356,0.0003495728,0.00004754033,0.00008517624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004716542,0.00001751059,0.002172923,0.00002267392,0.000002261137,0.000004500601,0.00006061705,0.00004663679,0.9959171,0.0008985822,0.0002671086,0.0005428868],"study_design_scores_gemma":[0.0004795006,0.0008263023,0.0983424,0.00003175579,0.0000109492,0.000004645654,0.00009585055,0.0002997855,0.8963796,0.003084365,0.0002913499,0.0001534531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973323,0.00008039834,0.000003264706,0.0001715098,0.00004154951,0.0002061075,0.00002707952,0.00008846007,0.002049305],"genre_scores_gemma":[0.9995971,0.00002088398,0.0000787973,0.00003237784,0.00002669535,0.0000651028,0.000009793007,0.00001349007,0.0001557448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09953749,"threshold_uncertainty_score":0.2816602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307261827117337,"score_gpt":0.2438998161258219,"score_spread":0.2308271978546485,"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."}}