{"id":"W2535994298","doi":"10.1021/acs.biomac.6b01198","title":"<i>In Vivo</i>Biological Evaluation of High Molecular Weight Multifunctional Acid-Degradable Polymeric Drug Carriers with Structurally Different Ketals","year":2016,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Dendrimers and Hyperbranched Polymers","field":"Materials Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"In vivo; Chemistry; Biodistribution; Degradation (telecommunications); Clearance; Polymer; Drug delivery; Drug; Chemical structure; Pharmacokinetics; Biophysics; In vitro; Organic chemistry; Combinatorial chemistry; Biochemistry; Pharmacology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003066725,0.0002838228,0.0003775102,0.0001307619,0.00006707609,0.00003067364,0.0002748369,0.00009618182,0.002193892],"category_scores_gemma":[0.00003986854,0.0001539911,0.0000985711,0.000205214,0.0003796139,0.0001749441,0.0000649842,0.00004768877,0.00002697145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009571346,"about_ca_system_score_gemma":0.0001157961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003280529,"about_ca_topic_score_gemma":0.00009751882,"domain_scores_codex":[0.9976737,0.0002713003,0.0003703739,0.0005161017,0.0007539396,0.0004146107],"domain_scores_gemma":[0.9991705,0.00005867322,0.0002003719,0.0003160728,0.0001274396,0.0001268764],"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":[0.0001762821,0.00006321263,0.001331239,0.00001004892,0.00003658809,0.00002416882,0.0001135978,0.000007484601,0.996218,0.0006836942,0.0001203183,0.001215359],"study_design_scores_gemma":[0.001840695,0.0001279641,0.007123439,0.00005275189,0.00006399135,0.00002871625,0.00005440437,0.00002238159,0.9897913,0.0005208965,0.0001020277,0.000271387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964892,0.00142548,0.0004505714,0.000382675,0.0004584288,0.000281086,0.0001641064,0.0000377005,0.0003107437],"genre_scores_gemma":[0.9988489,0.00001698126,0.00076386,0.00008561504,0.00004289374,0.00004850126,0.00001308366,0.00002353941,0.0001566624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006426661,"threshold_uncertainty_score":0.9987183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01141769111300868,"score_gpt":0.2323793660430592,"score_spread":0.2209616749300505,"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."}}