{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004178365,0.0004599972,0.000592665,0.0001086037,0.0008602865,0.0002181023,0.001027671,0.00006511721,0.01248294],"category_scores_gemma":[0.00007205793,0.0003896596,0.00006427997,0.0001519159,0.0002344735,0.0006250875,0.001106018,0.0002145845,0.0004437695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005730844,"about_ca_system_score_gemma":0.00007414595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002895875,"about_ca_topic_score_gemma":0.00007563049,"domain_scores_codex":[0.9966403,0.0003092442,0.0006900076,0.0008059109,0.0004920604,0.001062479],"domain_scores_gemma":[0.9988211,0.0001042037,0.0003411071,0.0005513901,0.00007097556,0.0001111699],"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":[0.0008932684,0.00004265032,0.00001891436,0.00005947209,0.00001913899,0.00001194113,0.0002314156,0.002232941,0.9943352,0.0003569938,0.001443426,0.0003546453],"study_design_scores_gemma":[0.0005226962,0.00126429,0.000129884,0.00003982642,0.00002837475,0.0001029479,0.0003702814,0.00001554528,0.9876281,0.001551461,0.007841004,0.0005056135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922135,0.004084811,0.00001149146,0.0004114119,0.001484941,0.0004373964,0.0001219566,0.0003885421,0.0008459425],"genre_scores_gemma":[0.9905626,0.0001432106,0.001133769,0.0002721114,0.00007090632,0.0002531985,0.00003634822,0.00006870239,0.007459179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01203917,"threshold_uncertainty_score":0.9998555,"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."}}