{"id":"W4311404624","doi":"10.1021/acssensors.2c01750","title":"Extracellular Vesicle Antibody Microarray for Multiplexed Inner and Outer Protein Analysis","year":2022,"lang":"en","type":"article","venue":"ACS Sensors","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill Genome Centre","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Génome Québec; Genome Canada","keywords":"Cell biology; Biology; Proteomics; Microvesicles; Protein microarray; Extracellular vesicle; Computational biology; Molecular biology; Chemistry; Microarray; Gene expression; Biochemistry; Gene; microRNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004522374,0.0006818681,0.0007052214,0.0008255981,0.0002625383,0.0005181234,0.0006100691,0.0008466775,0.001956969],"category_scores_gemma":[0.000392434,0.0004073418,0.0004233287,0.0005382444,0.0001633556,0.0003734702,0.0004805887,0.0007172542,0.001146169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004211903,"about_ca_system_score_gemma":0.0002279622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004168621,"about_ca_topic_score_gemma":0.001209042,"domain_scores_codex":[0.9991965,0.00009957052,0.00004874094,0.0003170812,0.0002444931,0.00009365719],"domain_scores_gemma":[0.999811,0.00005453167,0.00002632093,0.00001888295,0.00006524788,0.00002405049],"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":[0.00004486414,0.00003673117,0.0002323317,0.00005334521,0.00001262408,0.00001683434,0.00001209195,0.0001938999,0.9942647,0.0001920112,0.0001913618,0.004749126],"study_design_scores_gemma":[0.000010741,0.0001763373,0.002631397,0.000009550687,0.00002781327,0.00009617773,0.00001900869,0.01420383,0.9782246,0.0001764872,0.004404261,0.0000197235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4666483,0.002640342,0.5139112,0.0004252387,0.0002886491,0.0005867577,0.005047571,0.003101587,0.007350395],"genre_scores_gemma":[0.3979464,0.002252747,0.5812596,0.0005409269,0.00009473145,0.002113247,0.004684762,0.0001822003,0.01092537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001956969,"threshold_uncertainty_score":0.006546736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008645372098938195,"score_gpt":0.2536775428907669,"score_spread":0.2450321707918287,"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."}}