{"id":"W4292444282","doi":"10.1007/s40820-022-00922-5","title":"Importance of Standardizing Analytical Characterization Methodology for Improved Reliability of the Nanomedicine Literature","year":2022,"lang":"en","type":"article","venue":"Nano-Micro Letters","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Science Foundation; Shanghai Jiao Tong University; Camille and Henry Dreyfus Foundation; Philomathia Foundation; U.S. Department of Energy; Gordon and Betty Moore Foundation; U.S. Department of Agriculture; Alfred P. Sloan Foundation; National Institute on Drug Abuse; National Institute of Diabetes and Digestive and Kidney Diseases; Office of Science; National Institutes of Health","keywords":"Nanomedicine; Reliability (semiconductor); Characterization (materials science); Reliability engineering; Computer science; Medical physics; Materials science; Engineering; Nanotechnology; Medicine; Nanoparticle; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2734223,0.001641999,0.002576168,0.007407083,0.002578107,0.008851475,0.006216424,0.00472917,0.001678819],"category_scores_gemma":[0.2330646,0.001349308,0.001365933,0.003926184,0.009194119,0.007140608,0.00590068,0.006964528,0.002660989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004301234,"about_ca_system_score_gemma":0.01568635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002571297,"about_ca_topic_score_gemma":0.002458227,"domain_scores_codex":[0.771415,0.115433,0.03194487,0.01305944,0.06550614,0.002641581],"domain_scores_gemma":[0.6566023,0.129589,0.03189637,0.07383666,0.1062031,0.001872499],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006542247,0.0008095557,0.01923742,0.0112961,0.0007620841,0.0007255198,0.005278714,0.007617474,0.2878314,0.08122105,0.02463161,0.5599349],"study_design_scores_gemma":[0.0001102455,0.00107197,0.01299618,0.007916783,0.0006404637,0.001749257,0.003335457,0.01532821,0.4738456,0.08608428,0.3964126,0.000509066],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03691965,0.04059082,0.8490812,0.04237377,0.005736911,0.0036504,0.001130577,0.003285713,0.01723086],"genre_scores_gemma":[0.1767057,0.01783916,0.7866258,0.008027813,0.001746109,0.003680071,0.001306131,0.001291446,0.0027778],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7265778,"threshold_uncertainty_score":0.8959997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871167535214165,"score_gpt":0.2688941985711255,"score_spread":0.2501825232189839,"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."}}