{"id":"W4311673403","doi":"10.1021/acs.nanolett.2c03763","title":"Bioinspired Nanocomplexes Comprising Phenolic Acid Derivative and Human Serum Albumin for Cancer Therapy","year":2022,"lang":"en","type":"article","venue":"Nano Letters","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Shenyang Science and Technology Bureau; National Natural Science Foundation of China","keywords":"Cancer therapy; Albumin; Cancer; Derivative (finance); Chemistry; Human serum albumin; Serum albumin; Bovine serum albumin; Biochemistry; Biophysics; Nanotechnology; Cancer research; Pharmacology; Medicine; Combinatorial chemistry; Materials science; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003113413,0.0002045442,0.0002600816,0.0001103632,0.0009148346,0.0001046932,0.0003032316,0.00003748502,0.0003732066],"category_scores_gemma":[0.00001005428,0.0002039391,0.00006490291,0.0002192971,0.0001958653,0.0002021415,0.0001666783,0.0001022793,0.000009706702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001738503,"about_ca_system_score_gemma":0.00004929669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003513512,"about_ca_topic_score_gemma":0.00004543026,"domain_scores_codex":[0.998345,0.0001628856,0.0002696658,0.0004597443,0.0002898854,0.0004727722],"domain_scores_gemma":[0.9993629,0.00009897061,0.0001571412,0.0002630329,0.00004124215,0.00007667724],"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":[0.00009530025,0.00006120345,0.001423618,0.00001637832,0.0000163746,0.000004783344,0.001029523,0.0001708594,0.9927447,0.0001331949,0.002777124,0.00152693],"study_design_scores_gemma":[0.001605224,0.0001560004,0.001700567,0.00001422636,0.00001361223,0.000004952757,0.0002094992,0.00006202673,0.9852885,0.00009136831,0.01057777,0.0002762768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922841,0.0004805519,0.0002533294,0.00562297,0.0003644409,0.0006434603,0.0002115353,0.0001239227,0.00001575014],"genre_scores_gemma":[0.9886942,0.000007146455,0.001466744,0.009218936,0.0001123051,0.0004075683,0.00001406831,0.00004070935,0.000038316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007800649,"threshold_uncertainty_score":0.8316393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03035302629718735,"score_gpt":0.2756045705905971,"score_spread":0.2452515442934097,"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."}}