{"id":"W3143580011","doi":"10.1002/adts.202100028","title":"Collective Magnetism in 2D Polymer Made of C‐Doped Triangular Boron Nitride Nanoflakes","year":2021,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Graphene research and applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Magnetism; Spintronics; Materials science; Fermi level; Condensed matter physics; Dopant; Ground state; Doping; Ferromagnetism; Physics; Atomic physics; Electron","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":[0.00008487763,0.0001710464,0.0002194741,0.0002220064,0.0003822254,0.0004088139,0.0002082402,0.0003459489,0.001785385],"category_scores_gemma":[0.0001349517,0.0001427024,0.0001981591,0.0001108065,0.0003622406,0.0002752799,0.0002724669,0.0002166527,0.00009823982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003336275,"about_ca_system_score_gemma":0.0002225411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075748,"about_ca_topic_score_gemma":0.001267954,"domain_scores_codex":[0.9999577,0.000004967085,0.000001239303,0.000006510407,0.00001256832,0.00001707414],"domain_scores_gemma":[0.9999486,0.0000153063,0.00001136058,0.000005596712,0.000006561159,0.00001257447],"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":[0.0005055716,0.000208463,0.003390002,0.000431258,0.0001022159,0.0008731204,0.0001867401,0.2715994,0.7026237,0.01257786,0.0006473937,0.006854225],"study_design_scores_gemma":[0.0001555593,0.0005830993,0.006679245,0.00002923938,0.00004316629,0.0001326458,0.0001557431,0.8812276,0.1072748,0.002065531,0.001607106,0.00004628126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996759,0.00007983178,0.001033217,0.00004458308,0.00001387329,0.000004438918,0.00003338571,0.00001847377,0.002013166],"genre_scores_gemma":[0.9990502,0.00003518369,0.0005620755,0.000008348207,0.000002072564,0.000009056044,0.000039902,0.000004636955,0.0002886175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001785385,"threshold_uncertainty_score":0.005972743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012615274874814,"score_gpt":0.2830877710500121,"score_spread":0.272961618301264,"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."}}