{"id":"W4400016493","doi":"10.1016/j.cej.2024.153438","title":"Micelle-engineered nanoplatforms for precision oncology","year":2024,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency","funders":"Canadian Institutes of Health Research; Chinese Chemical Society; Terry Fox Research Institute; Canadian Cancer Society; Lotte and John Hecht Memorial Foundation","keywords":"Micelle; Precision oncology; Nanotechnology; Chemistry; Materials science; Internal medicine; Medicine; Cancer; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0005864928,0.0001812127,0.000234014,0.0001326331,0.00005776815,0.0002061311,0.0002733355,0.0001477857,0.0002179945],"category_scores_gemma":[0.0003031421,0.0001482473,0.0001539743,0.00017985,0.00002825322,0.0003019314,0.00005451126,0.0003449609,0.000183142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002916066,"about_ca_system_score_gemma":0.0001310006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.429958e-7,"about_ca_topic_score_gemma":4.448938e-8,"domain_scores_codex":[0.9986407,0.000008001806,0.0003987584,0.0002521631,0.0002335308,0.0004668764],"domain_scores_gemma":[0.9990104,0.000475042,0.00004006314,0.0001499834,0.00007754711,0.0002469875],"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":[0.0000524584,0.0000340077,5.6956e-7,0.00008721306,0.00001495966,0.0000534819,0.00009411982,0.008007973,0.9829694,0.0002440404,0.00400268,0.004439084],"study_design_scores_gemma":[0.0004393897,0.00008703757,0.000001307921,0.0001504828,0.0000269476,0.0003897771,0.00001056672,0.1025653,0.8682155,0.0002414565,0.02769339,0.000178834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8073071,0.001772912,0.1871356,0.000318721,0.002892573,0.0001648594,0.0000172755,0.0003248194,0.00006614518],"genre_scores_gemma":[0.9396499,0.00002936997,0.05898521,0.00005124216,0.00100559,0.00003382485,0.000006643833,0.00006210022,0.0001761439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1323428,"threshold_uncertainty_score":0.604535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182962850695293,"score_gpt":0.2459440919626366,"score_spread":0.2341144634556837,"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."}}