{"id":"W3087290414","doi":"10.1016/j.carbpol.2020.117112","title":"Elucidating the effect of enzymatic polymerized polysaccharide particle morphology on emulsion properties","year":2020,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; DuPont","keywords":"Pickering emulsion; Chemical engineering; Emulsion; Particle (ecology); Materials science; Surface tension; Nanoparticle; Emulsion polymerization; Polymerization; Rheology; Particle size; Phase (matter); Nanotechnology; Dodecane; Chemistry; Composite material; Polymer; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002660324,0.0001814457,0.0002907916,0.00003223146,0.0001851632,0.00004199428,0.0002727747,0.00005206704,0.0002465605],"category_scores_gemma":[0.0003862574,0.0001093046,0.00008084584,0.000347881,0.0002143816,0.0001181913,0.00009177001,0.0001015739,0.0001042508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001905211,"about_ca_system_score_gemma":0.00002024766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001552806,"about_ca_topic_score_gemma":0.000002120629,"domain_scores_codex":[0.998365,0.0003852582,0.0003752554,0.0002924135,0.0002462977,0.0003357478],"domain_scores_gemma":[0.9991245,0.0002144621,0.0001762729,0.0003322271,0.00002544256,0.0001271568],"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":[0.0002596768,0.00001438699,0.0005073758,0.00004514163,0.000009481298,0.000003048344,0.00145575,0.0009209269,0.9954042,0.00008680444,0.00001999403,0.001273141],"study_design_scores_gemma":[0.0005172685,0.0005641959,0.0002536401,0.00004243089,0.0000378062,0.00000184322,0.0002115768,0.0166408,0.981586,0.000005916438,0.00001401149,0.0001244463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971333,0.0003429329,0.0002336308,0.001481872,0.0002382777,0.0003285208,0.000009015763,0.0001005078,0.0001319707],"genre_scores_gemma":[0.9993662,0.000005622804,0.0000297884,0.0004318518,0.00006495007,0.00004765943,0.000002262281,0.00002444649,0.0000272263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01571987,"threshold_uncertainty_score":0.4457313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02291355099002508,"score_gpt":0.2417888731969465,"score_spread":0.2188753222069214,"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."}}