{"id":"W2208334011","doi":"10.1038/ncomms12566","title":"Emergent nanoscale superparamagnetism at oxide interfaces","year":2016,"lang":"en","type":"article","venue":"Nature Communications","topic":"Electronic and Structural Properties of Oxides","field":"Materials Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation; National Research Foundation Singapore; National Research Foundation; Division of Materials Research; Minerva Foundation; National Science Foundation","keywords":"Condensed matter physics; Antiferromagnetism; Superparamagnetism; Spintronics; Ferromagnetism; Materials science; Nanoscopic scale; Magnetic moment; Magnetization; Nanotechnology; Magnetic field; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001457537,0.0001223783,0.0001256914,0.00003285007,0.000389354,0.00003054347,0.001457383,0.0001551742,0.00107236],"category_scores_gemma":[0.0001322118,0.00007103851,0.00004924336,0.00007920979,0.0003065705,0.0002138397,0.0007053372,0.0002350002,0.0005068695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001306388,"about_ca_system_score_gemma":0.00003261572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004803635,"about_ca_topic_score_gemma":0.0007772577,"domain_scores_codex":[0.9990576,0.0001121707,0.0002061942,0.0001993559,0.0001570958,0.0002676042],"domain_scores_gemma":[0.9982483,0.0001474367,0.00006141156,0.001385831,0.00008818283,0.00006885394],"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":[0.00001420626,0.0000164002,0.0004691371,0.000002775143,0.000005535163,1.960887e-7,0.00007633721,4.577379e-7,0.9816862,0.006965499,0.00878511,0.00197814],"study_design_scores_gemma":[0.0002498911,0.00006273892,0.006317721,0.00005319354,0.00001372182,0.00001347665,0.00005411119,0.00001835013,0.817075,0.0009114328,0.1750082,0.0002221953],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967582,0.01509145,0.00002819136,0.01353269,0.0002227466,0.000121491,0.00002225489,0.0001200308,0.003279147],"genre_scores_gemma":[0.9902434,0.001104312,0.003072538,0.0002922308,0.00002197964,0.00002648816,0.000007420102,0.00001270077,0.005218898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1662231,"threshold_uncertainty_score":0.9998408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717715800925107,"score_gpt":0.2687619880346759,"score_spread":0.2515848300254249,"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."}}