{"id":"W2079797223","doi":"10.1038/nnano.2012.220","title":"Electrostatic assembly of binary nanoparticle superlattices using protein cages","year":2012,"lang":"en","type":"article","venue":"Nature Nanotechnology","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":380,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep Saint-Jean-sur-Richelieu","funders":"Associazione Italiana per la Ricerca sul Cancro; Emil Aaltosen Säätiö; Aalto-Yliopisto","keywords":"Nanocages; Nanoparticle; Superlattice; Materials science; Isostructural; Nanotechnology; Self-assembly; Superparamagnetism; Nanostructure; Colloidal crystal; Crystal structure; Crystallography; Colloid; Chemistry; Magnetization; Physical chemistry; Optoelectronics; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003434964,0.0001148275,0.0001904636,0.0001283133,0.0001035241,0.00001267402,0.0001934632,0.0003741786,0.0000705308],"category_scores_gemma":[0.0003050934,0.00009813801,0.00003194933,0.0004439996,0.0001415133,0.0002838269,0.00008138309,0.0002329941,0.00002482823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004430926,"about_ca_system_score_gemma":0.00003990777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003239451,"about_ca_topic_score_gemma":0.000009908086,"domain_scores_codex":[0.9988797,0.00008107536,0.0002398837,0.0001831563,0.0001708824,0.0004452995],"domain_scores_gemma":[0.9994006,0.0000576924,0.0001166336,0.0002917537,0.00008164898,0.00005172268],"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":[0.00002186534,0.0001047799,0.002236704,0.00003479226,0.000003879625,0.000001496311,0.0001450991,0.00005712335,0.9932471,0.003735183,0.00001571751,0.0003962463],"study_design_scores_gemma":[0.0001855533,0.0001258269,0.001320515,0.00002954262,0.00001645422,0.00001515311,0.00007887962,0.001160384,0.9962978,0.0002607031,0.0003966275,0.0001125606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974167,0.001406115,0.0003169666,0.0002397513,0.0002193162,0.0002231695,0.000006982134,0.0001474412,0.00002351315],"genre_scores_gemma":[0.9943078,0.000005581779,0.005561913,0.00003494159,0.00003304004,0.00001521802,0.000002016919,0.00001572045,0.00002383568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005244947,"threshold_uncertainty_score":0.4001952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495885518304977,"score_gpt":0.2877953309562237,"score_spread":0.2728364757731739,"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."}}