{"id":"W2590359050","doi":"10.1103/physrevb.96.155422","title":"Electrical detection of individual skyrmions in graphene devices","year":2017,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fuel Cell Technologies Program; Fundação para a Ciência e a Tecnologia; Universidad de Alicante; Mountain Equipment Co-operative; Ministerio de Economía y Competitividad; European Regional Development Fund; Federación Española de Enfermedades Raras; Generalitat Valenciana","keywords":"Skyrmion; Graphene; Spintronics; Condensed matter physics; Hall effect; Physics; Hall effect sensor; Detector; Nanotechnology; Magnetic field; Materials science; Magnet; Ferromagnetism; Quantum mechanics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001572753,0.00022989,0.0002660506,0.0002519858,0.0002062655,0.0005414707,0.0005798104,0.0006004537,0.0005470492],"category_scores_gemma":[0.0003684387,0.000131692,0.0001031616,0.0002138082,0.0009474719,0.0006069653,0.0003887679,0.0002662237,0.0001112557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002028208,"about_ca_system_score_gemma":0.00007067397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001478799,"about_ca_topic_score_gemma":0.0001755278,"domain_scores_codex":[0.9998797,0.00002526886,0.000003394554,0.00002495181,0.00004621273,0.00002040687],"domain_scores_gemma":[0.9998407,0.00009164305,0.00002679439,0.00001580524,0.0000117242,0.00001331579],"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":[0.0002231063,0.000113071,0.001534535,0.0002670065,0.00004742376,0.0009205948,0.0002521179,0.02442699,0.9192663,0.04266088,0.0006784064,0.009609656],"study_design_scores_gemma":[0.00008833771,0.0006099794,0.003571119,0.00003938339,0.00003898675,0.0004636672,0.0002341917,0.3419754,0.6327197,0.01612373,0.004061867,0.00007369596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838414,0.0007281807,0.01041286,0.0003919002,0.00006232515,0.0000176352,0.00006279205,0.00009571741,0.004387339],"genre_scores_gemma":[0.9961356,0.0001694884,0.003168561,0.00003632583,0.00001456595,0.000008031244,0.00001359812,0.000004172523,0.0004497554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006004537,"threshold_uncertainty_score":0.001830041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064214301149252,"score_gpt":0.3501478063081159,"score_spread":0.3295056632966233,"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."}}