{"id":"W3173518893","doi":"10.1103/physrevb.103.224526","title":"Imaging and controlling vortex dynamics in mesoscopic superconductor–normal-metal–superconductor arrays","year":2021,"lang":"en","type":"article","venue":"Physical review. B./Physical review. B","topic":"Physics of Superconductivity and Magnetism","field":"Physics and Astronomy","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; University of Waterloo; Canadian Institute for Advanced Research","funders":"Basic Energy Sciences; University of Illinois at Urbana-Champaign; U.S. Department of Energy; Gordon and Betty Moore Foundation; Division of Materials Research; National Science Foundation","keywords":"Vortex; Mesoscopic physics; Superconductivity; Physics; Vorticity; Condensed matter physics; Nanotechnology; Materials science; Mechanics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000933056,0.0001207776,0.0001319676,0.0001914205,0.0001198527,0.0002382267,0.000233445,0.0002749869,0.0006468774],"category_scores_gemma":[0.0001542611,0.0001635288,0.0000636715,0.0001129352,0.0002309876,0.0002497571,0.0001892617,0.0002230968,0.0001229854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001677434,"about_ca_system_score_gemma":0.0000913816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003315934,"about_ca_topic_score_gemma":0.0009514512,"domain_scores_codex":[0.9999619,0.000005341453,0.000001793933,0.00001039603,0.00001404518,0.000006553629],"domain_scores_gemma":[0.9999126,0.00002885078,0.0000251432,0.00000965595,0.00001424559,0.000009374822],"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":[0.00002328082,0.00001077427,0.0002534198,0.00003777628,0.000003079577,0.00002882316,0.00003137624,0.0002142929,0.9941022,0.0004522409,0.0001161032,0.004726735],"study_design_scores_gemma":[0.00004907141,0.0001957041,0.006391549,0.00001198814,0.00001086207,0.0002423427,0.00009728824,0.01311436,0.9741833,0.0005916617,0.005094329,0.00001732995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896144,0.001484225,0.006205455,0.0002016806,0.00004226902,0.00002008358,0.00004373607,0.00008542821,0.002302808],"genre_scores_gemma":[0.9861145,0.0008366358,0.01124913,0.00006759113,0.00003129741,0.00003104367,0.00002960474,0.00001749031,0.001622732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006468774,"threshold_uncertainty_score":0.002164066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01300013332216152,"score_gpt":0.3150162656329921,"score_spread":0.3020161323108305,"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."}}