{"id":"W3017234934","doi":"10.1002/wnan.1628","title":"Image‐guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies","year":2020,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Nanomedicine; Drug delivery; Monoclonal antibody; Pharmacokinetics; Kinetics; Computational biology; Modalities; Pharmacology; Nanotechnology; Medicine; Biology; Nanoparticle; Antibody; Materials science; Immunology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005611874,0.001066184,0.001066157,0.0009851528,0.0001439552,0.0009552644,0.0009831716,0.001208779,0.001518586],"category_scores_gemma":[0.0008437342,0.0004689528,0.00098467,0.0007961615,0.0004805292,0.0007241557,0.000627255,0.001035027,0.001200201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006973033,"about_ca_system_score_gemma":0.0006884296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446243,"about_ca_topic_score_gemma":0.0009739163,"domain_scores_codex":[0.9997748,0.00005598384,0.00001358542,0.00002905919,0.0001157042,0.00001091573],"domain_scores_gemma":[0.9997535,0.0001277885,0.00003049576,0.00001297367,0.00006696381,0.000008193821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006632052,0.0001282922,0.0005585017,0.005837401,0.0001773024,0.0003955354,0.000127596,0.4151255,0.04274753,0.1201475,0.01552338,0.3991651],"study_design_scores_gemma":[0.00001966024,0.0001335017,0.000548605,0.000720435,0.0001127235,0.0005408112,0.00004046388,0.7303693,0.01600367,0.03091286,0.2205131,0.00008496428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.004746887,0.3194777,0.6542311,0.001280319,0.0005984882,0.0001096208,0.0002823827,0.0005428976,0.0187306],"genre_scores_gemma":[0.1374992,0.6246957,0.2139238,0.0006513054,0.001122107,0.0006643813,0.000577062,0.0003740143,0.02049247],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001518586,"threshold_uncertainty_score":0.005080163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088003930365145,"score_gpt":0.4072355861791967,"score_spread":0.2984351931426822,"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."}}