{"id":"W2759724202","doi":"10.1021/acs.molpharmaceut.7b00670","title":"Using Flash Nanoprecipitation To Produce Highly Potent and Stable Cellax Nanoparticles from Amphiphilic Polymers Derived from Carboxymethyl Cellulose, Polyethylene Glycol, and Cabazitaxel","year":2017,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Ontario Institute for Cancer Research","funders":"Ontario Institute for Cancer Research","keywords":"Nanoparticle; Amphiphile; Polyethylene glycol; Carboxymethyl cellulose; Polymer; Nanomedicine; Chemistry; PEG ratio; Drug carrier; Methacrylate; Cabazitaxel; Copolymer; Solvent; Drug delivery; Materials science; Nanotechnology; Organic chemistry; Sodium; Cancer","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":[0.0004342059,0.0004158838,0.0004222761,0.0001203082,0.0005964956,0.0006425896,0.000469492,0.0001321555,0.00007369254],"category_scores_gemma":[0.0002070687,0.0004479836,0.00006056262,0.0001461969,0.0003224939,0.0004703515,0.0005603516,0.0001758874,0.00006940595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000148201,"about_ca_system_score_gemma":0.0001378695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00388965,"about_ca_topic_score_gemma":0.0001322236,"domain_scores_codex":[0.9969233,0.0003058272,0.0004738288,0.001007271,0.0005663914,0.0007234424],"domain_scores_gemma":[0.9979531,0.0001419366,0.0003088215,0.0008745976,0.0001582326,0.0005632923],"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":[0.0002093757,0.0001028855,0.001165007,0.00002692764,0.0000530795,0.00009662718,0.0008928936,0.000706554,0.9937006,0.00002460169,0.00003108929,0.002990408],"study_design_scores_gemma":[0.001520681,0.00008336554,0.001900893,0.00006321727,0.000270886,0.00000478555,0.0001326496,0.006206593,0.9886697,0.0002384456,0.0003767059,0.0005321117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990846,0.005207472,0.0008843957,0.001160649,0.0006997885,0.0007104535,0.0003582208,0.0001018848,0.00003109896],"genre_scores_gemma":[0.9893404,0.000123043,0.009545345,0.0006696802,0.0001290274,0.00003186909,0.00002360255,0.00007835001,0.00005871859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008660949,"threshold_uncertainty_score":0.9997972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0377968996205972,"score_gpt":0.2958696100860586,"score_spread":0.2580727104654614,"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."}}