{"id":"W2938044304","doi":"10.1103/physrevb.102.125425","title":"Optimized micromagnet geometries for Majorana zero modes in low <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"><mml:mi>g</mml:mi></mml:math>-factor materials","year":2020,"lang":"lv","type":"article","venue":"Physical review. B./Physical review. B","topic":"Topological Materials and Phenomena","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut quantique; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Canada First Research Excellence Fund","keywords":"MAJORANA; Mesoscopic physics; Zeeman effect; Bound state; Physics; Spin–orbit interaction; Superconductivity; Coupling (piping); Ising model; Condensed matter physics; Particle physics; Quantum mechanics; Magnetic field; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006669142,0.001042273,0.002268133,0.00006320448,0.000322862,0.0004561807,0.001129818,0.0002463897,0.0006138913],"category_scores_gemma":[0.0007452677,0.0009983914,0.001777899,0.0007881146,0.0004717863,0.0005281224,0.0007747289,0.0006765236,0.00281163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003308792,"about_ca_system_score_gemma":0.0002517686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001507897,"about_ca_topic_score_gemma":0.000001891409,"domain_scores_codex":[0.9942645,0.0004348702,0.001753669,0.001423246,0.0007744313,0.00134927],"domain_scores_gemma":[0.9958695,0.001054895,0.001234455,0.001011168,0.0001375496,0.0006924989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003834985,0.0008820974,0.000003141622,0.01538078,0.0003035981,0.00002303599,0.0002326916,0.00005403436,0.03295411,0.9452647,0.001186053,0.003332252],"study_design_scores_gemma":[0.008029743,0.00767575,0.0002549665,0.05076384,0.006598397,0.00002588284,0.000326,0.2996382,0.2903627,0.2610557,0.06843498,0.006833782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975422,0.01565996,0.002412159,0.002790547,0.0004411836,0.0008921618,0.001790774,0.0001019136,0.0004893204],"genre_scores_gemma":[0.964806,0.02593792,0.0008878424,0.003693061,0.002546941,0.001249038,0.0006429587,0.000210239,0.00002600893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.684209,"threshold_uncertainty_score":0.9992467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589922150943927,"score_gpt":0.295481162388751,"score_spread":0.2695819408793118,"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."}}