{"id":"W3000711956","doi":"10.1021/jacs.9b10156","title":"Polymer Stereocomplexation as a Scalable Platform for Nanoparticle Assembly","year":2020,"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":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Division of Materials Research; Veski; Louisiana State University","keywords":"Nanomaterials; Nanoparticle; Polymer; Nanotechnology; Methyl methacrylate; Quantum dot; Nanoscopic scale; Tacticity; Chemistry; Self-assembly; Copolymer; Nanostructure; Nanometre; Methacrylate; Materials science; Organic chemistry","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":[0.0002273391,0.0004151424,0.0002085044,0.0003033191,0.0001654301,0.0003390842,0.0003869748,0.000367981,0.002099643],"category_scores_gemma":[0.0002643432,0.0002700481,0.0002273024,0.0001732964,0.0002566076,0.0004148048,0.0004183609,0.0007630905,0.001017956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005126814,"about_ca_system_score_gemma":0.0002669272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004025305,"about_ca_topic_score_gemma":0.0009348014,"domain_scores_codex":[0.9997057,0.00002970653,0.00002312499,0.00009307498,0.0001162831,0.00003206359],"domain_scores_gemma":[0.9998251,0.00004489881,0.00004895086,0.00002997965,0.00002354478,0.00002745805],"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":[0.00000851312,0.00000826182,0.00001862583,0.00001735142,0.000001830162,0.00001755183,0.00000785678,0.000165343,0.9983663,0.0002178184,0.00004322783,0.001127307],"study_design_scores_gemma":[0.00000791684,0.00005501234,0.0001367707,0.000001476846,0.000002685257,0.00004039724,0.000002900427,0.001409915,0.9963426,0.00004068292,0.00195603,0.000003509865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9121415,0.001738365,0.07582654,0.0003540022,0.0001088303,0.0003522915,0.0006382367,0.001460636,0.007379574],"genre_scores_gemma":[0.9518663,0.000774995,0.0411783,0.0001136706,0.0000323482,0.0002096752,0.0006616466,0.0001326414,0.005030564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002099643,"threshold_uncertainty_score":0.00702399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01672714163573408,"score_gpt":0.2852616365491856,"score_spread":0.2685344949134515,"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."}}