{"id":"W3011752274","doi":"10.1039/d0py00036a","title":"Starch nanoparticles modified with styrene oxide and their use as Pickering stabilizers","year":2020,"lang":"en","type":"article","venue":"Polymer Chemistry","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; EcoSynthetix (Canada); Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Miniemulsion; Pickering emulsion; Styrene; Starch; Nanoparticle; Oxide; Polymerization; Emulsion; Emulsion polymerization; Chemical engineering; Styrene oxide; Copolymer; Stabilizer (aeronautics); Materials science; Chemistry; Polymer chemistry; Organic chemistry; Nanotechnology; Polymer","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":[0.0001525923,0.0002547209,0.0001723042,0.0001473268,0.00007990423,0.0002270782,0.0001115657,0.000299961,0.0002838003],"category_scores_gemma":[0.00019006,0.000178439,0.0001972826,0.0001175725,0.0001822809,0.0002429355,0.0001485086,0.0003215037,0.0001116357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001036119,"about_ca_system_score_gemma":0.0001357334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003015133,"about_ca_topic_score_gemma":0.0005493176,"domain_scores_codex":[0.999912,0.00001312106,0.00001121238,0.00002268082,0.00002749231,0.00001340009],"domain_scores_gemma":[0.9999011,0.00001884712,0.00002930022,0.00001128483,0.00002169142,0.00001774723],"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":[0.00002784895,0.000004954889,0.0000463075,0.00001273937,0.000002460894,0.00001769257,0.000007826391,0.00003802143,0.9991725,0.00005645156,0.000006132012,0.000606937],"study_design_scores_gemma":[0.000002840636,0.0001005036,0.0003750721,0.000001053538,0.000006352218,0.00002884699,0.0000037446,0.0002207402,0.9989476,0.00001390508,0.0002973519,0.000002087876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948785,0.0005524227,0.003659586,0.00002352516,0.00002454988,0.00001523882,0.00003533794,0.00003947974,0.0007712042],"genre_scores_gemma":[0.9953018,0.0003920059,0.003020962,0.00001645302,0.000006087984,0.00001216056,0.00006191619,0.00001329401,0.001175388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003015133,"threshold_uncertainty_score":0.0009494424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724982701454227,"score_gpt":0.2269688667505169,"score_spread":0.1997190397359746,"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."}}