{"id":"W2875075290","doi":"10.1038/s41598-018-28557-w","title":"Preparation from a revisited wet chemical route of phase-pure, monocrystalline and SHG-efficient BiFeO3 nanoparticles for harmonic bio-imaging","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Multiferroics and related materials","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"Seventh Framework Programme; Science Foundation Ireland; Advanced Materials and Bioengineering Research; Interreg; European Commission; Irish Research Council; Irish Research Council for Science, Engineering and Technology","keywords":"Materials science; Crystallization; Monocrystalline silicon; Nanoparticle; Annealing (glass); Chemical engineering; Nanocrystal; Amorphous solid; Luminescence; Nanotechnology; Crystallography; Optoelectronics; Chemistry; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001593192,0.0001631542,0.0003084169,0.0001040787,0.0002477927,0.0003540124,0.000132077,0.00007617509,0.0002219679],"category_scores_gemma":[0.0002311783,0.0001311715,0.00006562872,0.00022466,0.0004988058,0.0001470714,0.0001104307,0.00003755295,0.00001372024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003150923,"about_ca_system_score_gemma":0.00008687678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004722746,"about_ca_topic_score_gemma":0.000003581295,"domain_scores_codex":[0.997637,0.00004845805,0.0008358176,0.0008241801,0.0003374228,0.0003170885],"domain_scores_gemma":[0.9983677,0.00005052314,0.0005457263,0.0005855396,0.0003275848,0.0001229674],"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":[0.0001016795,0.0001472005,0.00008666371,0.00003774938,0.00001022137,0.00001052761,0.0003849503,0.00002181726,0.9970186,0.0000589165,0.001710644,0.0004110828],"study_design_scores_gemma":[0.0005366181,0.00005978791,0.00004397718,0.0001057274,0.00005612614,0.00002661855,0.00003020253,0.01805887,0.9744374,0.002251285,0.004236002,0.0001573713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946613,0.0004003992,0.0011361,0.0001210552,0.002814775,0.0006271128,0.000115383,0.00007485418,0.00004897179],"genre_scores_gemma":[0.9955884,0.000006011207,0.003915931,0.00001857021,0.0001445047,0.0000315525,0.0001553827,0.0000174521,0.0001222028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02258113,"threshold_uncertainty_score":0.534902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02156948394033118,"score_gpt":0.3062762496135513,"score_spread":0.2847067656732201,"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."}}