{"id":"W2000616038","doi":"10.1063/1.4916818","title":"Atomic layer deposition of superparamagnetic and ferrimagnetic magnetite thin films","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Physics","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Superparamagnetism; Ferrimagnetism; Materials science; Thin film; Anisotropy energy; Spintronics; Atomic layer deposition; Annealing (glass); Magnetite; Magnetic anisotropy; Nanotechnology; Remanence; Magnetization; Grain size; Condensed matter physics; Ferromagnetism; Metallurgy; Magnetic field","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007638837,0.0002924898,0.0001847689,0.0002515554,0.0001685081,0.0001964803,0.0003942355,0.0003139305,0.0007965424],"category_scores_gemma":[0.0001498208,0.0003343538,0.0001670465,0.000181986,0.0001103825,0.0002382235,0.0001889087,0.0003495712,0.0002436518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002355905,"about_ca_system_score_gemma":0.0001419677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007665009,"about_ca_topic_score_gemma":0.001498562,"domain_scores_codex":[0.9999361,0.000003325293,0.000006472121,0.00001418623,0.00002563555,0.00001428478],"domain_scores_gemma":[0.999934,0.000009009485,0.00002176906,0.00001122862,0.00001615648,0.000007716251],"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":[0.00001025344,0.000004286535,0.00005433003,0.00003016715,0.000003620215,0.0000330096,0.000005517936,0.00005097651,0.9991909,0.00007434942,0.00002749224,0.0005152758],"study_design_scores_gemma":[0.000005712435,0.00002442293,0.000684736,0.000003201893,0.000009548054,0.00008609171,0.000008986605,0.001031821,0.9968079,0.00002826794,0.001305894,0.000003402386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836481,0.001418255,0.00936668,0.0001297971,0.0001147709,0.00006003201,0.0004535378,0.0001996102,0.004609289],"genre_scores_gemma":[0.9727404,0.001174081,0.02188563,0.00004381842,0.00001753754,0.00006087711,0.0004071859,0.000042294,0.003628233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007965424,"threshold_uncertainty_score":0.002664745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343306178602644,"score_gpt":0.2115248822694439,"score_spread":0.1980918204834175,"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."}}