{"id":"W2208415741","doi":"10.1007/s11051-015-3301-1","title":"Anisotropic magnetic field observed at 300 K in citrate-coated iron oxide nanoparticles: effect of counterions","year":2015,"lang":"en","type":"article","venue":"Journal of Nanoparticle Research","topic":"Characterization and Applications of Magnetic Nanoparticles","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Bhabha Atomic Research Centre; Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Anisotropy; Nanoparticle; Counterion; Magnetic field; Iron oxide nanoparticles; Condensed matter physics; Iron oxide; Oxide; Chemical engineering; Nanotechnology; Inorganic chemistry; Ion; Metallurgy; Optics; Organic chemistry","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":[0.0001737771,0.0002429501,0.0002196612,0.0002558464,0.0003430554,0.0003252823,0.0003173324,0.0003700998,0.002155103],"category_scores_gemma":[0.000647005,0.0002050843,0.0001554096,0.0002972276,0.0006443334,0.0002405417,0.0001269922,0.0006546972,0.0002092896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004064045,"about_ca_system_score_gemma":0.00027015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002988153,"about_ca_topic_score_gemma":0.002622705,"domain_scores_codex":[0.9998103,0.00002335195,0.00001027843,0.00003411543,0.00006645806,0.00005556317],"domain_scores_gemma":[0.9994668,0.0001715931,0.0001249248,0.00004089406,0.000134367,0.00006128781],"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":[0.0004099092,0.00002010308,0.0004467811,0.0000742552,0.00001005499,0.0001839494,0.0001066216,0.00006359239,0.9976497,0.0001212231,0.0001297255,0.0007839436],"study_design_scores_gemma":[0.0000697879,0.0001525543,0.01364661,0.00001390623,0.00002872186,0.0003113048,0.0001508179,0.0008847484,0.9838877,0.00007771405,0.0007595991,0.00001650134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964455,0.0004063704,0.0006064147,0.0001449047,0.00003878687,0.00001163672,0.0001404495,0.00004808281,0.002157819],"genre_scores_gemma":[0.9991548,0.0001095761,0.0002186425,0.00002785268,0.000008451172,0.000005942157,0.00006447878,0.000008568554,0.0004016424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002988153,"threshold_uncertainty_score":0.007209539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05728834163173472,"score_gpt":0.3134314898437691,"score_spread":0.2561431482120343,"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."}}