{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007402333,0.0008628659,0.000616368,0.0007572356,0.0003054133,0.0004565768,0.0005611914,0.0006253494,0.001185329],"category_scores_gemma":[0.0003595068,0.0004465711,0.000482622,0.0003560745,0.0005806908,0.0006095553,0.0001244824,0.001202073,0.0005073528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000696859,"about_ca_system_score_gemma":0.0007060469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002674715,"about_ca_topic_score_gemma":0.002868059,"domain_scores_codex":[0.9997237,0.00004217332,0.00002028199,0.00006723524,0.0000608612,0.00008571517],"domain_scores_gemma":[0.9996315,0.00006118332,0.0001252848,0.00004796947,0.00004983371,0.00008430763],"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":[0.005887016,0.002853626,0.0004638868,0.00009637829,0.00003945325,0.0001046796,0.0001029179,0.001556391,0.9800618,0.0002771604,0.0006628811,0.007893747],"study_design_scores_gemma":[0.0003616268,0.01409703,0.001592345,0.000009702501,0.000125835,0.0001804892,0.00002640816,0.002569853,0.9782318,0.00009317436,0.00269203,0.00001973697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833353,0.002656529,0.009010244,0.0002793796,0.0001548095,0.0003959337,0.001362829,0.0003635199,0.002441548],"genre_scores_gemma":[0.9839753,0.002406389,0.004496908,0.0001165657,0.00005532855,0.0003307679,0.001041486,0.0001391327,0.007438063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002674715,"threshold_uncertainty_score":0.005318284,"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."}}