{"id":"W2600897427","doi":"10.1021/acs.accounts.6b00629","title":"Nanomedicine 2.0","year":2017,"lang":"en","type":"article","venue":"Accounts of Chemical Research","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Nanomedicine; Nanotechnology; Medicine; Engineering ethics; Engineering; Nanoparticle; Materials science","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":[0.000594772,0.00007149049,0.0001297624,0.00004720947,0.0001171376,0.00002679778,0.0005560034,0.0001287421,0.000006076034],"category_scores_gemma":[0.001478167,0.00005639899,0.00006003634,0.00005072823,0.0006657146,0.000004651295,0.0003591907,0.0001434899,0.000004867863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001127816,"about_ca_system_score_gemma":0.00004740294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003746253,"about_ca_topic_score_gemma":0.000003197103,"domain_scores_codex":[0.9989973,0.0000209635,0.0001415731,0.0002396756,0.0003634322,0.0002370638],"domain_scores_gemma":[0.9986466,0.00002332425,0.00007769543,0.0008200441,0.0003691613,0.00006324233],"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":[0.00005731696,0.00003531179,0.001158028,0.000009156812,0.0000184718,0.000001657898,0.000002869572,1.690293e-8,0.9877163,0.00006047438,0.003759155,0.007181285],"study_design_scores_gemma":[0.0001650568,0.00007586963,0.0006722249,0.00002251809,0.000004221976,0.000002434915,0.00001226187,0.000005124458,0.9819453,0.0004890461,0.01654293,0.00006295819],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920735,0.0001239841,0.00002987733,0.0007090566,0.00002020347,0.00006554071,0.00000725532,0.00000710181,0.006963493],"genre_scores_gemma":[0.9979903,0.0001680015,0.0009858167,0.00004619277,0.00021146,0.000004197385,0.00002150257,0.000009475415,0.0005630169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01278378,"threshold_uncertainty_score":0.2452853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05362862829877212,"score_gpt":0.4345389799086599,"score_spread":0.3809103516098877,"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."}}