{"id":"W2022112989","doi":"10.1063/1.4915482","title":"The role of interfacial metal silicates on the magnetism in FeCo/SiO2 and Fe49%Co49%V2%/SiO2 core/shell nanoparticles","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Magnetic Properties and Synthesis of Ferrites","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Clemson University; U.S. Department of Energy","keywords":"Nanoparticle; Cobalt; Magnetism; Materials science; Vanadium; Metal; Antiferromagnetism; Magnetic nanoparticles; Exchange bias; X-ray photoelectron spectroscopy; Chemical engineering; Inorganic chemistry; Nanotechnology; Chemistry; Metallurgy; Condensed matter physics; Magnetization; Magnetic anisotropy; Magnetic field","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":[0.0009674227,0.0001401952,0.0002947875,0.00002541508,0.00009953996,0.00009402966,0.000438358,0.00004007494,0.00005224016],"category_scores_gemma":[0.0001109988,0.00006916306,0.00006317993,0.00008585686,0.0002951545,0.00009228574,0.0001291936,0.0001698573,0.0000221024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001986955,"about_ca_system_score_gemma":0.0000586089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003281507,"about_ca_topic_score_gemma":0.0000143213,"domain_scores_codex":[0.9987372,0.0000655335,0.0004673066,0.0001284009,0.0003854906,0.000216043],"domain_scores_gemma":[0.9988788,0.0003762061,0.0003420287,0.0002209979,0.0000965315,0.00008541813],"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":[0.0004457169,0.0001139346,0.00009578153,0.000007636429,0.00001046897,0.000001287511,0.0009521084,0.0002643676,0.9724984,0.008193167,0.0003566526,0.01706046],"study_design_scores_gemma":[0.0004002844,0.0004036456,0.0006273324,0.00003585602,0.00002770701,0.000006203791,0.001705863,0.001075038,0.9486069,0.04394244,0.003065817,0.0001029196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948958,0.001006537,0.000003178741,0.0004221849,0.0001220291,0.0001394291,0.000004820446,0.000005060469,0.003401024],"genre_scores_gemma":[0.9994112,0.00009422044,0.0002132744,0.00008661737,0.0001377453,0.000007290842,1.64249e-7,0.00001106661,0.00003840995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03574927,"threshold_uncertainty_score":0.2820388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692629780454607,"score_gpt":0.2224057585663797,"score_spread":0.1954794607618336,"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."}}