{"id":"W4242924001","doi":"10.32920/ryerson.14662881.v1","title":"Microemulsion-Based Solid Lipid Nanoparticles As Emulsion Stabilisers","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Microemulsion; Emulsion; Materials science; Chemical engineering; Adsorption; Lecithin; Coalescence (physics); Solid lipid nanoparticle; Nanoparticle; Chemistry; Chromatography; Organic chemistry; Nanotechnology; Pulmonary surfactant","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001897797,0.0002611764,0.0002700643,0.0001715413,0.00008349373,0.0002200194,0.0001752877,0.0002427343,0.0004726395],"category_scores_gemma":[0.0001835324,0.0001242378,0.0002148687,0.00008670081,0.0001676014,0.0002242179,0.0002245645,0.0002769267,0.0002725389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002152298,"about_ca_system_score_gemma":0.0001297087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002648081,"about_ca_topic_score_gemma":0.0004158685,"domain_scores_codex":[0.9999002,0.00001495107,0.00001034652,0.00002819675,0.0000334092,0.00001288044],"domain_scores_gemma":[0.999939,0.00001297427,0.00001641439,0.000006138554,0.00001565572,0.000009905834],"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":[0.00001429582,0.000003095584,0.00001157657,0.00001619392,0.000001317481,0.000007449121,0.000003830382,0.00005474123,0.9992999,0.00003037411,0.000004939418,0.000552283],"study_design_scores_gemma":[0.000003646851,0.00006528301,0.0001191507,0.000001513227,0.000003374872,0.00001999243,0.000002333297,0.0003863266,0.9988717,0.00001318666,0.0005119493,0.00000137752],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812436,0.002577188,0.01439872,0.00007314324,0.00004451573,0.00007009648,0.0001419251,0.0001779962,0.001272823],"genre_scores_gemma":[0.9822946,0.001289657,0.01287815,0.00005508664,0.00001646153,0.00004488774,0.0002029707,0.00006672486,0.00315143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004726395,"threshold_uncertainty_score":0.001581132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01052598317395353,"score_gpt":0.2732345287106298,"score_spread":0.2627085455366763,"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."}}