{"id":"W2987260029","doi":"10.1021/acs.chemmater.9b03917","title":"A Step-by-Step Strategy for Controlled Preparations of Complex Heterostructured Colloids","year":2019,"lang":"en","type":"article","venue":"Chemistry of Materials","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Collaborative Innovation Center of Suzhou Nano Science and Technology; Priority Academic Program Development of Jiangsu Higher Education Institutions; Natural Science Foundation of Jiangsu Province; State Administration of Foreign Experts Affairs; Government of Jiangsu Province; China Postdoctoral Science Foundation; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Nanotechnology; Materials science; Colloid; Polystyrene; Nanostructure; Particle (ecology); Polymerization; Colloidal crystal; Surface modification; Chemical engineering; Polymer","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002566828,0.0001230181,0.0004930593,0.00001229245,0.00004169959,0.00003730277,0.0001696694,0.00008389163,0.002054244],"category_scores_gemma":[0.00009221563,0.0001079077,0.00006486831,0.00005130293,0.00008392514,0.00007315387,0.00003459051,0.00001497504,0.000008678414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001783602,"about_ca_system_score_gemma":0.00004807507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002127903,"about_ca_topic_score_gemma":0.000001300851,"domain_scores_codex":[0.9988754,0.00003944859,0.0005611955,0.0002113502,0.0001436137,0.0001689974],"domain_scores_gemma":[0.9990328,0.00009500748,0.0003587636,0.0003012679,0.000168177,0.00004401592],"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":[0.0005452858,0.00005496578,0.00005335245,0.0005007511,0.00001392519,5.11477e-8,0.00004012267,0.0002756731,0.9967698,0.00004660514,0.001685047,0.00001440908],"study_design_scores_gemma":[0.002901096,0.00009530017,0.0001631911,0.00003442297,0.00002280065,0.000001408596,0.00005844203,0.0004962818,0.995057,0.00005269931,0.001012135,0.0001051632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965451,0.000031336,0.000940675,0.0000142457,0.0001725516,0.0007199803,0.001084546,0.000026437,0.0004651686],"genre_scores_gemma":[0.9971592,0.000002840482,0.00185724,0.000007122416,0.00003084822,0.00007180023,0.000158383,0.00001279839,0.0006997056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00235581,"threshold_uncertainty_score":0.998858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02275552401605195,"score_gpt":0.2843520508366317,"score_spread":0.2615965268205798,"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."}}