{"id":"W3042649836","doi":"10.1039/d0cp00309c","title":"Mixing behaviour of Pluronics with gemini surfactant/plasmid DNA condensates: effect of Pluronic composition","year":2020,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; Regional Municipality of Waterloo; St Martha's Regional Hospital; National Institute for Nanotechnology; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Canada Foundation for Innovation","keywords":"Poloxamer; Pulmonary surfactant; Mixing (physics); Plasmid; Composition (language); Chemical engineering; Chemistry; DNA; Materials science; Copolymer; Organic chemistry; Polymer; Physics; Biochemistry","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":[0.0004530456,0.0004913672,0.0003003253,0.0003091092,0.0001545164,0.0003327251,0.0001688056,0.0003232623,0.000902804],"category_scores_gemma":[0.001080673,0.0002271484,0.000240553,0.0002969497,0.0002333545,0.0004172374,0.0002374905,0.0004358802,0.0002786806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003145735,"about_ca_system_score_gemma":0.0002710034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008738946,"about_ca_topic_score_gemma":0.0007130169,"domain_scores_codex":[0.9996759,0.00007455618,0.0000412666,0.00007052632,0.00008511716,0.00005277002],"domain_scores_gemma":[0.9994485,0.000209575,0.0001430118,0.00002434289,0.00009352985,0.00008109479],"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":[0.0001756991,0.00001248408,0.0001672354,0.00002680368,0.000007330983,0.00002135725,0.00004446994,0.00006835179,0.9986921,0.00002835959,0.000009600018,0.0007461116],"study_design_scores_gemma":[0.000005652895,0.000171919,0.0004797987,0.000002513658,0.00000884035,0.00002233372,0.000008490971,0.0004961278,0.9985504,0.000005472634,0.0002451601,0.0000033099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972704,0.000720075,0.001290319,0.00003702738,0.00001515203,0.00002233453,0.00006771068,0.00004904765,0.0005279112],"genre_scores_gemma":[0.9965838,0.0003666644,0.001917513,0.00002327233,0.00001005783,0.00002041901,0.0001322613,0.00003202372,0.0009138522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000902804,"threshold_uncertainty_score":0.003020167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009209300399127953,"score_gpt":0.2189442205600828,"score_spread":0.2097349201609548,"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."}}