{"id":"W2053979649","doi":"10.1088/0957-4484/21/38/385201","title":"Magnetism and perfect spin filtering effect in graphene nanoflakes","year":2010,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Graphene research and applications","field":"Materials Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Graphene; Ferrimagnetism; Magnetism; Dopant; Doping; Zigzag; Condensed matter physics; Ferromagnetism; Spin (aerodynamics); Nanotechnology; Optoelectronics; Magnetization; Magnetic field; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003718417,0.0001110582,0.0001663404,0.0002849188,0.00009793576,0.00003387393,0.0002658642,0.0001899158,0.0001496132],"category_scores_gemma":[0.0001457546,0.00009668464,0.00002639803,0.0003484952,0.0003347339,0.00008637807,0.0001373801,0.000319964,0.00007797861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007244112,"about_ca_system_score_gemma":0.00001743735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001952914,"about_ca_topic_score_gemma":0.0007417143,"domain_scores_codex":[0.9990269,0.00004273529,0.0001391754,0.0003198689,0.00009961481,0.0003717178],"domain_scores_gemma":[0.9994716,0.00009029406,0.00003063756,0.0003327222,0.00001637701,0.00005833506],"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":[0.000008656304,0.0000164997,0.002780424,0.00001438841,9.279514e-7,0.000007795612,0.00001478694,4.532412e-7,0.972712,0.005926897,0.00003739357,0.01847975],"study_design_scores_gemma":[0.0003678542,0.0002159892,0.01128924,0.00001092664,0.000002537582,0.00003245064,0.000007891398,0.00005215691,0.9803986,0.005880604,0.001628049,0.0001137024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979715,0.0001458862,0.0001572528,0.001003488,0.0001159573,0.0002509692,0.00000587386,0.0001588346,0.0001902724],"genre_scores_gemma":[0.9977473,0.00008200289,0.001913517,0.00002551372,0.00002012344,0.0001599873,0.000001748834,0.00001053277,0.00003924348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01836605,"threshold_uncertainty_score":0.3942685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004749834749536482,"score_gpt":0.2550991627994773,"score_spread":0.2503493280499408,"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."}}