{"id":"W4300865606","doi":"10.1002/admi.202201475","title":"Highly Tunable Ferromagnetic 2D Electron Gases at Oxide Interfaces","year":2022,"lang":"en","type":"article","venue":"Advanced Materials Interfaces","topic":"Electronic and Structural Properties of Oxides","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; University of Saskatchewan","keywords":"Ferromagnetism; Antiferromagnetism; Spintronics; Condensed matter physics; Materials science; Magnetism; Electron; Oxide; Spin (aerodynamics); Superconductivity; Magnetic semiconductor; Chemical physics; Physics","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":[0.00007206319,0.0001918452,0.0001521641,0.0001726611,0.0001565869,0.0002622751,0.0001680293,0.0002158101,0.0007643477],"category_scores_gemma":[0.0001031102,0.0001405594,0.00005289132,0.0001027875,0.0002099475,0.0001597152,0.0001965534,0.0001741462,0.0001227167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001564273,"about_ca_system_score_gemma":0.00007875853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002259911,"about_ca_topic_score_gemma":0.0006056848,"domain_scores_codex":[0.9999455,0.000006173173,0.000002423095,0.00001197216,0.00001983725,0.00001413454],"domain_scores_gemma":[0.9999428,0.00001110059,0.00002187549,0.000006093409,0.00000853316,0.00000956241],"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":[0.00003342657,0.000006726306,0.0001926992,0.00002330788,0.000002095298,0.00004571346,0.00001773174,0.00005055089,0.9989064,0.0002723911,0.00006476512,0.0003841316],"study_design_scores_gemma":[0.00003027568,0.0001210499,0.003474472,0.00000576705,0.000006853128,0.00008468219,0.00003658365,0.002133275,0.9924895,0.0001106115,0.001499944,0.000007048331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979565,0.0001370292,0.0007476483,0.00002750477,0.00001510975,0.000005546447,0.00006832119,0.00004708741,0.0009952723],"genre_scores_gemma":[0.998855,0.0000515552,0.000681863,0.0000137055,0.00000411145,0.000006584405,0.00004361901,0.000008030231,0.0003354796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007643477,"threshold_uncertainty_score":0.00255698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009358372334870349,"score_gpt":0.2336933798549182,"score_spread":0.2243350075200478,"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."}}