{"id":"W2885631644","doi":"10.1038/s41598-018-30802-1","title":"Large-Scale Encapsulation of Magnetic Iron Oxide Nanoparticles via Syngas Photo-Initiated Chemical Vapor Deposition","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Hydro-Québec; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Nanoparticle; Coating; Chemical engineering; Materials science; Chemical vapor deposition; Iron oxide nanoparticles; High-resolution transmission electron microscopy; Iron oxide; X-ray photoelectron spectroscopy; Oxide; Magnetic nanoparticles; Solvent; Nanotechnology; Organic chemistry; Chemistry; Transmission electron microscopy","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":[0.0001450302,0.00035128,0.000247046,0.0002028101,0.0001232325,0.0001990686,0.0003038282,0.0002601758,0.0005495955],"category_scores_gemma":[0.0001550013,0.0001933669,0.0001817339,0.0001107083,0.0001693463,0.0001979081,0.0002157858,0.0003439123,0.0002654185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002308296,"about_ca_system_score_gemma":0.0001442659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004815967,"about_ca_topic_score_gemma":0.001424333,"domain_scores_codex":[0.9998999,0.000006853952,0.000006487192,0.0000254162,0.00004485624,0.00001655888],"domain_scores_gemma":[0.9999303,0.00001702016,0.00001951453,0.0000111774,0.00001337377,0.000008667238],"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":[0.000008221255,0.00000451216,0.00002265597,0.00001674782,0.000001289491,0.00001795362,0.000005571699,0.00004784505,0.9992881,0.00004187204,0.00001379336,0.0005313851],"study_design_scores_gemma":[0.000003486022,0.00003149697,0.0002626333,0.000001030995,0.000002159803,0.00002954648,0.00000204235,0.0007544534,0.9982548,0.000006861378,0.0006496222,0.000001916947],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763917,0.0008040456,0.01926197,0.00006787879,0.0000514351,0.00009725757,0.0002982477,0.0003877228,0.002639773],"genre_scores_gemma":[0.9807016,0.0004757229,0.0159675,0.00002206889,0.00001205063,0.00006082459,0.0002765558,0.00007708618,0.002406567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005495955,"threshold_uncertainty_score":0.001838565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004961951699294623,"score_gpt":0.1990086689358031,"score_spread":0.1940467172365085,"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."}}