{"id":"W2606009659","doi":"10.1016/j.nimb.2017.03.116","title":"Modifying exchange bias effects of Mn/NiFe bilayers by in-situ Ar+ bombardment","year":2017,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology of the People's Republic of China; Australian Nuclear Science and Technology Organisation","keywords":"Ferromagnetism; Transmission electron microscopy; Materials science; Exchange bias; Antiferromagnetism; Bilayer; Analytical Chemistry (journal); Diffraction; Layer (electronics); Electron diffraction; Deposition (geology); Hysteresis; In situ; Crystallography; Chemistry; Condensed matter physics; Magnetization; Nanotechnology; Magnetic anisotropy; Magnetic field; Membrane; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009105219,0.0001760274,0.0003277098,0.0001613976,0.0003916014,0.0003613166,0.0001880801,0.00005018439,0.0001533655],"category_scores_gemma":[0.00004769726,0.0001442161,0.00003043819,0.0001072021,0.0002645088,0.0005099688,0.0003156035,0.0003307628,0.000002658348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005601364,"about_ca_system_score_gemma":0.00002434668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002666165,"about_ca_topic_score_gemma":0.00001927655,"domain_scores_codex":[0.9984274,0.0003489616,0.0003056333,0.0003476453,0.0002477627,0.0003225807],"domain_scores_gemma":[0.9991551,0.0001188719,0.000211843,0.0003423852,0.00007860845,0.00009317938],"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":[0.0002766479,0.0004209315,0.003723634,0.00037533,0.00009787371,0.000001966672,0.001143067,0.000006771907,0.7580366,0.001208569,0.0004865736,0.2342221],"study_design_scores_gemma":[0.002943032,0.0006993242,0.00989536,0.0009889473,0.00003062964,0.000005048911,0.001664993,0.0006490176,0.9609434,0.003971688,0.01779301,0.0004155587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948381,0.00004081825,0.0004342699,0.00009605377,0.0006328347,0.000473956,0.00002222644,0.0000101768,0.003451602],"genre_scores_gemma":[0.9947629,0.0001703783,0.004422051,0.0000160878,0.0001504797,0.00008732481,0.000008698825,0.00002888339,0.0003531738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2338065,"threshold_uncertainty_score":0.5880961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06441185313800658,"score_gpt":0.3946015413953891,"score_spread":0.3301896882573825,"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."}}