{"id":"W2063198665","doi":"10.1016/j.biomaterials.2011.10.061","title":"Preclinical pharmacokinetic, biodistribution, and anti-cancer efficacy studies of a docetaxel-carboxymethylcellulose nanoparticle in mouse models","year":2011,"lang":"en","type":"article","venue":"Biomaterials","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":109,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Institute for Cancer Research","funders":"Ontario Institute for Cancer Research","keywords":"Biodistribution; Pharmacokinetics; Docetaxel; Pharmacology; Toxicity; PEGylation; Distribution (mathematics); Kidney; Materials science; Medicine; Chemistry; Chemotherapy; Internal medicine; Polyethylene glycol; 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":[],"consensus_categories":[],"category_scores_codex":[0.001294105,0.0002555138,0.0006583377,0.0001223077,0.00006490358,0.00004462771,0.0002657928,0.0001027658,0.0003598988],"category_scores_gemma":[0.0002124814,0.0002182764,0.00006177479,0.0002482292,0.0005456504,0.0003562576,0.0002457723,0.00002066067,0.00005989078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004814401,"about_ca_system_score_gemma":0.00006203998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003189112,"about_ca_topic_score_gemma":0.00001162193,"domain_scores_codex":[0.9973007,0.0004002223,0.001037914,0.000524216,0.0002614258,0.0004754982],"domain_scores_gemma":[0.9988065,0.0001835083,0.0003258585,0.0003694362,0.0001748588,0.0001398317],"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":[0.0004449805,0.000625375,0.001716461,0.000125334,0.00003931419,0.00001153176,0.0008103215,0.0000422236,0.9956708,0.0002318227,0.00008245215,0.000199409],"study_design_scores_gemma":[0.00222342,0.0001250581,0.001881711,0.00007104643,0.00006655294,0.000002630279,0.00009489497,0.0001850437,0.9946449,0.0004369061,0.00001808475,0.0002497747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960383,0.002322489,0.00001953482,0.00009908411,0.0004928281,0.0005130653,0.000391184,0.000105476,0.00001806393],"genre_scores_gemma":[0.9982508,0.0006917277,0.0008124682,0.00004896724,0.00006004271,0.00008765697,0.000005814722,0.00002287032,0.00001969033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002212488,"threshold_uncertainty_score":0.8901054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121309717362291,"score_gpt":0.3466230854442806,"score_spread":0.2253133680819897,"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."}}