{"id":"W3210765913","doi":"10.1039/d1an01586a","title":"Characterization of ovarian cancer-derived extracellular vesicles by surface-enhanced Raman spectroscopy","year":2021,"lang":"en","type":"article","venue":"The Analyst","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Alberta; Western University","funders":"BC Cancer Agency; Natural Sciences and Engineering Research Council of Canada","keywords":"Ovarian cancer; Cancer research; Malignancy; Cancer; Cancer cell; Cell culture; Extracellular vesicles; Nanoparticle tracking analysis; Surface-enhanced Raman spectroscopy; Vesicle; Cell; Raman spectroscopy; Chemistry; Pathology; Biology; Medicine; Cell biology; Internal medicine; Membrane; Biochemistry; Microvesicles; Raman scattering; Genetics; Gene; Physics","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":[0.0001707544,0.0001552396,0.0001941019,0.00001567,0.0000977488,0.00003247296,0.0002815646,0.00009128722,0.000178262],"category_scores_gemma":[0.00003269434,0.0001353544,0.0001328883,0.0002087638,0.0001203984,0.000006665562,0.0000971218,0.00008226297,0.000009105484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001687906,"about_ca_system_score_gemma":0.0001128046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004314289,"about_ca_topic_score_gemma":0.00004701473,"domain_scores_codex":[0.9988334,0.0001669921,0.0002818782,0.0003320968,0.0001686935,0.0002169876],"domain_scores_gemma":[0.998933,0.00001056435,0.0001981651,0.0006536958,0.0001320356,0.00007259802],"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":[0.00006422442,0.00009431643,0.0006714035,0.00002117261,0.0001480408,0.000005181084,0.00006920254,0.00009072051,0.9981723,0.00007263212,0.0002854318,0.0003053681],"study_design_scores_gemma":[0.000338338,0.00003567875,0.002306344,0.00001627875,0.0001107089,0.000002208095,0.00009087085,0.0001511833,0.9940684,0.00005746454,0.002669329,0.0001531396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979823,0.004310785,0.01487577,0.0004484685,0.00008197265,0.0001258011,0.0001022665,0.00001255942,0.0002193767],"genre_scores_gemma":[0.996143,0.0008587,0.0004505558,0.0001184706,0.000137091,0.000009836043,0.0007338225,0.00002861743,0.001519932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01631997,"threshold_uncertainty_score":0.5519592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007736227815217762,"score_gpt":0.2453617688256139,"score_spread":0.2376255410103961,"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."}}