{"id":"W2026437146","doi":"10.1016/j.ejpb.2012.02.001","title":"A rotating disk electrokinetic method for characterizing polyelectrolyte pharmaceutical gels","year":2012,"lang":"en","type":"article","venue":"European Journal of Pharmaceutics and Biopharmaceutics","topic":"Electrostatics and Colloid Interactions","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrokinetic phenomena; Polyelectrolyte; Polyacrylic acid; Surface charge; Charge density; Gelatin; Conductivity; Materials science; Electrophoresis; Chemical engineering; Chemical physics; Zeta potential; Chemistry; Nanotechnology; Chromatography; Composite material; Nanoparticle; Polymer; Organic chemistry; Physical chemistry; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002169714,0.0004494715,0.0005046101,0.000221905,0.0003911902,0.0001952938,0.0003961249,0.00006759763,0.0002393398],"category_scores_gemma":[0.0001618517,0.00040847,0.0003279217,0.0002577188,0.00009440229,0.0003999097,0.0001209282,0.001132782,0.00001044139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001037341,"about_ca_system_score_gemma":0.00008812464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.732594e-7,"about_ca_topic_score_gemma":1.449882e-7,"domain_scores_codex":[0.9967675,0.0002774089,0.001133382,0.0002823293,0.0004088047,0.001130577],"domain_scores_gemma":[0.9973304,0.0005206815,0.0008237052,0.0001871131,0.0003478398,0.000790288],"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":[0.0004504348,0.0002834552,0.0008470324,0.0001954736,0.0003917729,0.00002901744,0.0004492831,0.00001016109,0.8830509,0.0004751646,0.0003371295,0.1134802],"study_design_scores_gemma":[0.002563169,0.0002117092,0.0001087054,0.00007934291,0.000699804,0.0008855379,0.0001475153,0.01849276,0.6205512,0.00004195508,0.3558209,0.0003974245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.912891,0.01790427,0.05706841,0.003111027,0.002039026,0.0005620494,0.0002385231,0.000146781,0.006038865],"genre_scores_gemma":[0.9642584,0.003799477,0.02728707,0.001544282,0.002534585,0.00001088574,0.00001728428,0.0001435555,0.0004044101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3554837,"threshold_uncertainty_score":0.9998367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03922155822527389,"score_gpt":0.362144247090016,"score_spread":0.3229226888647421,"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."}}