{"id":"W4411376078","doi":"10.1021/acs.nanolett.5c00988","title":"Magnetic Field Switching of Exchange Bias in a Metallic FM/AFM Heterostructure at Room Temperature","year":2025,"lang":"en","type":"article","venue":"Nano Letters","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"JST-Mirai Program; Precursory Research for Embryonic Science and Technology; Murata Science Foundation; Basic Energy Sciences; Japan Science and Technology Agency; University of Tokyo; Nitto","keywords":"Heterojunction; Materials science; Atomic force microscopy; Optoelectronics; Exchange bias; Metal; Nanotechnology; Magnetic field; Condensed matter physics; Magnetization; Physics; Magnetic anisotropy; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001115923,0.0002051695,0.0002986983,0.0001499995,0.00006045331,0.00004292265,0.0003346079,0.00008425576,0.001246841],"category_scores_gemma":[0.00001971286,0.0001747539,0.0001312792,0.0002300616,0.00002205138,0.00007884032,0.0002125611,0.0002314442,0.00001245843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003554971,"about_ca_system_score_gemma":0.00001978582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006188733,"about_ca_topic_score_gemma":0.00005734845,"domain_scores_codex":[0.9988883,0.00006844815,0.0002982041,0.0002893746,0.0001661558,0.0002895039],"domain_scores_gemma":[0.9993914,0.00006893418,0.00008636899,0.0003925291,0.00002118894,0.00003952173],"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":[0.00004382063,0.00003074795,0.01630195,0.0001070179,0.00003822809,0.000004159796,0.0004642458,0.00002965742,0.9631875,0.0002658634,0.01065,0.008876767],"study_design_scores_gemma":[0.003518565,0.0003803801,0.01681065,0.000636741,0.0001564964,0.000004264974,0.0003286367,0.0002009057,0.9386411,0.001637886,0.03673349,0.0009508959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905358,0.000682133,0.00005079539,0.005465843,0.0003971802,0.0002590322,0.00001148575,0.00001951991,0.002578228],"genre_scores_gemma":[0.9936633,0.000003476125,0.0005116839,0.003683697,0.00008289215,0.00002232276,0.00001049221,0.00001530547,0.002006809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02608349,"threshold_uncertainty_score":0.9996662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008876669567283578,"score_gpt":0.2188579482593537,"score_spread":0.2099812786920701,"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."}}