{"id":"W35222180","doi":"10.1103/physrevb.90.245410","title":"Transport gap and hysteretic behavior of the Ising quantum Hall ferromagnets in<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mrow><mml:mo>|</mml:mo><mml:mi>N</mml:mi><mml:mo>|</mml:mo><mml:mo>&gt;</mml:mo><mml:mn>0</mml:mn></mml:mrow></mml:math>Landau levels of bilayer graphene","year":2014,"lang":"lv","type":"article","venue":"Physical Review B","topic":"Graphene research and applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Condensed matter physics; Ising model; Physics; Zeeman effect; Quantum Hall effect; Ferromagnetism; Skyrmion; Zeeman energy; Spin (aerodynamics); Electron; Magnetic field; Quantum mechanics","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":[0.0001997836,0.0002345648,0.0002061941,0.0004494279,0.0004623062,0.0004227621,0.0004040591,0.0005540935,0.002280082],"category_scores_gemma":[0.0007627727,0.0001166977,0.0001753609,0.0003731376,0.0008675969,0.0005138603,0.0002794804,0.0003523135,0.00006952661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008838018,"about_ca_system_score_gemma":0.0003686279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005152252,"about_ca_topic_score_gemma":0.003457354,"domain_scores_codex":[0.9999549,0.000009594207,0.00000197046,0.00000517463,0.000009090094,0.00001922307],"domain_scores_gemma":[0.9997545,0.0001391706,0.00003112414,0.00001716535,0.00002929749,0.00002869517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001048487,0.0004105034,0.01562282,0.0004578981,0.0001076599,0.001504954,0.0007591276,0.7401175,0.06640215,0.1635557,0.002809726,0.007203378],"study_design_scores_gemma":[0.00004595281,0.0001009088,0.004652849,0.00002499579,0.00001604461,0.00007376388,0.000203114,0.9704972,0.01442175,0.009625502,0.0003214738,0.00001639217],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973395,0.00005182049,0.0004006358,0.0001116956,0.000005461829,0.000003021906,0.00006343902,0.00002590613,0.001998427],"genre_scores_gemma":[0.9990379,0.00002817708,0.0003326742,0.0000103557,0.000002645126,0.000004500197,0.00007445702,0.000008672959,0.0005007212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005152252,"threshold_uncertainty_score":0.01024455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367461946774834,"score_gpt":0.2818554485110583,"score_spread":0.2481808290433099,"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."}}