{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001313626,0.0002751985,0.0001507444,0.0001516804,0.00005523198,0.0001182578,0.00009205971,0.0001574265,0.0004513896],"category_scores_gemma":[0.0002112802,0.0001070723,0.0001109865,0.0001286519,0.0001023428,0.0002122979,0.00009954295,0.0001929657,0.0001445453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002089259,"about_ca_system_score_gemma":0.0002192902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003559747,"about_ca_topic_score_gemma":0.0006006967,"domain_scores_codex":[0.9999177,0.00001073411,0.00001065745,0.0000203594,0.00002283713,0.00001760582],"domain_scores_gemma":[0.9998839,0.00001887414,0.00004731281,0.00001020606,0.00001698531,0.00002279089],"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":[0.00004919009,0.00001173464,0.00009118229,0.00002186466,0.000001901433,0.00002457792,0.000004806506,0.0001314136,0.9981274,0.00009859061,0.00001291009,0.0014245],"study_design_scores_gemma":[0.00001561973,0.0002468188,0.0009168825,0.000002465235,0.00001104698,0.000109491,0.000002129237,0.0009365268,0.9967229,0.00003255354,0.001000547,0.000003142115],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988654,0.002442371,0.007042922,0.00006090384,0.00001980697,0.00005238222,0.0002178506,0.00007963672,0.00143015],"genre_scores_gemma":[0.9904031,0.001283802,0.00677357,0.00002965287,0.00001127921,0.0000527957,0.0002020062,0.00001694102,0.001226917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004513896,"threshold_uncertainty_score":0.001515865,"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."}}