{"id":"W2903327151","doi":"10.1039/c8nr04916e","title":"Nanoparticle heterogeneity: an emerging structural parameter influencing particle fate in biological media?","year":2018,"lang":"en","type":"review","venue":"Nanoscale","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Armand Frappier Museum; Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Armand-Frappier Foundation","keywords":"Nanoparticle; Particle (ecology); Nanotechnology; Materials science; Biological system; Biology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001016283,0.0005762008,0.001433602,0.0001579222,0.0001808256,0.0002025225,0.0007793784,0.0004124163,0.0003994379],"category_scores_gemma":[0.0004338195,0.0004380199,0.0002810725,0.0006599022,0.0003651072,0.0005510901,0.0003583078,0.0003187994,0.001102728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002430496,"about_ca_system_score_gemma":0.0001666981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001073478,"about_ca_topic_score_gemma":0.0001945095,"domain_scores_codex":[0.9950604,0.0009346802,0.00124405,0.001124072,0.0004649675,0.001171826],"domain_scores_gemma":[0.9978269,0.0004487624,0.0003691005,0.0009055515,0.00008526335,0.000364477],"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":[0.0001305598,0.0005135823,0.007366729,0.00269876,0.00007401302,0.0003889668,0.001795213,0.00008136061,0.5163454,0.0001443244,0.000153816,0.4703072],"study_design_scores_gemma":[0.001985522,0.0008857638,0.0007443121,0.005749622,0.0005490212,0.0001727077,0.0002287274,0.001832584,0.8707658,0.0006788754,0.1132242,0.003182855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6195695,0.379363,0.000003512892,0.000009997544,0.0005098283,0.0003668274,0.00004362973,0.0001293907,0.000004295494],"genre_scores_gemma":[0.6347833,0.3627464,0.001244389,0.0002253816,0.0005293296,0.0002688465,0.00005462635,0.0001278417,0.00001994156],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4671244,"threshold_uncertainty_score":0.9998072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07638765959353498,"score_gpt":0.3362567956165926,"score_spread":0.2598691360230576,"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."}}