{"id":"W2330307975","doi":"10.1021/bm5002262","title":"Block and Random Copolymers Bearing Cholic Acid and Oligo(ethylene glycol) Pendant Groups: Aggregation, Thermosensitivity, and Drug Loading","year":2014,"lang":"en","type":"article","venue":"Biomacromolecules","topic":"Synthetic Organic Chemistry Methods","field":"Chemistry","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Cancer Institute; National Institutes of Health; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Breast Cancer Research Foundation","keywords":"Micelle; Copolymer; Comonomer; Ethylene glycol; Cholic acid; Cloud point; Polymer chemistry; Polymerization; Chemistry; Drug carrier; Aqueous solution; Materials science; Drug delivery; Organic chemistry; Polymer; Bile acid; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005454966,0.0003410312,0.0003961516,0.00005433242,0.0002569623,0.0001636477,0.0001342247,0.0001622161,0.00006236695],"category_scores_gemma":[0.0003864814,0.0003372972,0.00005399911,0.0001043172,0.0004059823,0.00008424772,0.000288984,0.0001606144,0.000003261073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000378305,"about_ca_system_score_gemma":0.00002328276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001086559,"about_ca_topic_score_gemma":0.00001301054,"domain_scores_codex":[0.9983507,0.0001160792,0.000301824,0.0006312613,0.0002242409,0.0003759223],"domain_scores_gemma":[0.9987547,0.0004406584,0.0001626281,0.0003688235,0.00003960442,0.0002335388],"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":[0.00005554218,0.00002256489,0.001086306,0.0001790145,0.00006500843,0.00002647587,0.0006830809,7.984254e-8,0.9727769,0.00005128713,0.00001795906,0.02503575],"study_design_scores_gemma":[0.002260108,0.00001254597,0.0008964472,0.0001834659,0.00008907268,0.0007932101,0.0002791435,0.0002977171,0.9941666,0.0002757809,0.000358098,0.0003878432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947061,0.002550431,0.0002678423,0.0003175573,0.00005859589,0.00009518778,0.00002044069,0.0001204254,0.001863411],"genre_scores_gemma":[0.9975865,0.0002409209,0.001711605,0.00007672373,0.0001605759,0.00001029002,0.00000713226,0.00005916794,0.0001470386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02464791,"threshold_uncertainty_score":0.9999079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008030863082429522,"score_gpt":0.2352953809293389,"score_spread":0.2272645178469094,"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."}}