{"id":"W2580621834","doi":"10.1021/jacs.6b11893","title":"Modulating Nanoparticle Superlattice Structure Using Proteins with Tunable Bond Distributions","year":2017,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Air Force Office of Scientific Research; Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; International Institute for Nanotechnology, Northwestern University; Argonne National Laboratory; Materials Research Science and Engineering Center, Harvard University; U.S. Department of Defense; W. M. Keck Foundation; Northwestern University; National Science Foundation","keywords":"Chemistry; Superlattice; Nanoparticle; Nanotechnology; Chemical physics; Optoelectronics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001933466,0.0003116398,0.0001671648,0.0001603795,0.0001492007,0.0003712902,0.0003502846,0.0002917267,0.001192639],"category_scores_gemma":[0.0002362579,0.0002103659,0.0001179039,0.0001243784,0.0002616809,0.0003578078,0.0002497206,0.0004292279,0.000435334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005095612,"about_ca_system_score_gemma":0.0002199133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003974985,"about_ca_topic_score_gemma":0.0009768473,"domain_scores_codex":[0.9998564,0.00001708407,0.000009865686,0.000042603,0.00005375287,0.00002026637],"domain_scores_gemma":[0.9998047,0.00005942731,0.00005305786,0.00002276139,0.00002895507,0.00003111152],"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":[0.000009494051,0.000004656069,0.00003368686,0.000006185154,7.971819e-7,0.000007359538,0.000006046221,0.00007697112,0.9993899,0.00005679999,0.0000120163,0.0003960579],"study_design_scores_gemma":[0.000006122625,0.00002458445,0.0001888697,6.635694e-7,0.000001664927,0.00001564811,0.000006022583,0.001959421,0.9974222,0.00002062525,0.0003521223,0.000002062914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787717,0.0004097328,0.01833024,0.0001856815,0.00002994105,0.00002831746,0.00008186026,0.0002929768,0.001869453],"genre_scores_gemma":[0.9662833,0.0002885124,0.03020527,0.00009353076,0.00001281328,0.00006270801,0.00009582021,0.00007347499,0.002884549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001192639,"threshold_uncertainty_score":0.003989756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016108370255565,"score_gpt":0.2774616144217066,"score_spread":0.267300530719151,"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."}}