{"id":"W2783823932","doi":"10.1038/s41467-017-02261-1","title":"Engineered nanointerfaces for microfluidic isolation and molecular profiling of tumor-specific extracellular vesicles","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":331,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Common Fund; National Institute of Biomedical Imaging and Bioengineering; NIH Office of the Director; Canadian Institutes of Health Research; Office of Strategic Coordination; National Institutes of Health; National Cancer Institute; Voices Against Brain Cancer","keywords":"Extracellular vesicles; Microfluidics; Microvesicles; Extracellular vesicle; Computational biology; RNA; Extracellular; DNA; Cell biology; Isolation (microbiology); Chemistry; Biology; Nanotechnology; microRNA; Bioinformatics; Biochemistry; Gene; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272374453657252,"score_gpt":0.2724348112629025,"score_spread":0.25971106672633,"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."},"direct_labels":[],"classifier":{"requested":true,"available":true,"version":"metacan-v1-d91a1de5be90","frame_rows_covered":4299418,"decision_targets":["metaresearch","metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","randomized_trial","nonrandomized_trial","observational","systematic_review","meta_analysis","case_report","qualitative","simulation_or_modeling","bench_or_experimental","theoretical_or_conceptual","not_applicable"],"score_encoding":"uint16_le_65535","score_resolution":0.000015259021896696422,"interpretation":"Scores imitate each teacher on the enriched screening sample; they are not calibrated prevalence probabilities for the full frame.","warning":null},"prediction":{"classifier_version":"metacan-v1-d91a1de5be90","candidate_union":["bench_or_experimental","not_applicable"],"consensus_intersection":["bench_or_experimental"],"score_encoding":"uint16_le_65535","score_resolution":0.000015259021896696422,"scores":{"codex":{"metaresearch":0.0018005645838101779,"metaepi_narrow":0,"metaepi_broad":0,"bibliometrics":0.000030518043793392844,"sts":0.00006103608758678569,"scholarly_communication":0.00039673456931410697,"open_science":0.000976577401388571,"research_integrity":0.00018310826276035706,"randomized_trial":0.000015259021896696422,"nonrandomized_trial":0.000015259021896696422,"observational":0.0014801251239795529,"systematic_review":0.000015259021896696422,"meta_analysis":0,"case_report":0.0007476920729381247,"qualitative":0.000030518043793392844,"simulation_or_modeling":0.000030518043793392844,"bench_or_experimental":0.993820096131838,"theoretical_or_conceptual":0.00686655985351339,"not_applicable":0.028763256275272753,"design_other":0.007400625619897764},"gemma":{"metaresearch":0.006424048218509193,"metaepi_narrow":0,"metaepi_broad":0,"bibliometrics":0.000015259021896696422,"sts":0.0002136263065537499,"scholarly_communication":0.00006103608758678569,"open_science":0.00019836728465705348,"research_integrity":0.0024414435034714275,"randomized_trial":0,"nonrandomized_trial":0.0002136263065537499,"observational":0.0001373311970702678,"systematic_review":0.000015259021896696422,"meta_analysis":0,"case_report":0.00018310826276035706,"qualitative":0.000030518043793392844,"simulation_or_modeling":0.00030518043793392844,"bench_or_experimental":0.998138399328603,"theoretical_or_conceptual":0.0005493247882810712,"not_applicable":0.517265583276112}},"interpretation":"Scores imitate each teacher on the enriched screening sample; they are not calibrated prevalence probabilities for the full frame."}}