{"id":"W2114344783","doi":"10.1103/physrevb.64.134411","title":"Growth, structure, electronic, and magnetic properties of MgO/Fe(001) bilayers and Fe/MgO/Fe(001) trilayers","year":2001,"lang":"en","type":"article","venue":"Physical review. B, Condensed matter","topic":"Magnetic properties of thin films","field":"Physics and Astronomy","cited_by":166,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Alexander von Humboldt-Stiftung","keywords":"Materials science; Scanning tunneling microscope; Monolayer; Condensed matter physics; Quantum tunnelling; Scanning tunneling spectroscopy; Ferromagnetic resonance; Electron diffraction; Epitaxy; Thin film; Crystallography; Layer (electronics); Diffraction; Nanotechnology; Optics; Magnetization; Optoelectronics; Magnetic field; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007879241,0.0001993283,0.0001609677,0.0002482242,0.0001468394,0.0002273627,0.0001702663,0.0002122706,0.0004960541],"category_scores_gemma":[0.0002572091,0.000173958,0.00009974866,0.0001614038,0.0001150638,0.0001347096,0.0001016929,0.0001708811,0.0001087917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354081,"about_ca_system_score_gemma":0.00008096748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002098614,"about_ca_topic_score_gemma":0.002582673,"domain_scores_codex":[0.9999341,0.000004362324,0.000006362337,0.0000166573,0.00002194838,0.00001665864],"domain_scores_gemma":[0.9998971,0.00001616289,0.00003014891,0.000008860433,0.00002110959,0.0000266422],"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":[0.00005629097,0.000005836726,0.0004818347,0.00001972544,0.000003940778,0.00002349934,0.00001060569,0.00007202148,0.9990607,0.00001949654,0.00001053452,0.000235554],"study_design_scores_gemma":[0.00002180626,0.0001554261,0.02714712,0.00001066883,0.00002730943,0.000131657,0.00006863815,0.0028297,0.9690256,0.00002538178,0.0005492971,0.000007504122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994723,0.000133852,0.00007530315,0.000007253856,0.000002723179,0.000002449621,0.0001383371,0.000006058963,0.000161654],"genre_scores_gemma":[0.998505,0.0002246462,0.0005272271,0.00000709492,0.00000316049,0.000008743679,0.0002920254,0.00001086474,0.0004211778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002098614,"threshold_uncertainty_score":0.004172802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009710771365584422,"score_gpt":0.2374755380364418,"score_spread":0.2277647666708574,"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."}}