{"id":"W3010963009","doi":"10.1016/s0735-1097(20)31664-8","title":"THE EXTRACELLULAR VESICLE PROTEOME AS A NOVEL BIOMARKER IN PATIENTS WITH AMYLOID TRANSTHYRETIN CARDIAC AMYLOIDOSIS","year":2020,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Amyloidosis: Diagnosis, Treatment, Outcomes","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network","funders":"","keywords":"Transthyretin; Medicine; Cardiac amyloidosis; Amyloidosis; Amyloid (mycology); Biomarker; Extracellular vesicles; Proteome; Extracellular vesicle; Extracellular; Pathology; Internal medicine; Cell biology; Biochemistry; Microvesicles; Gene","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005118433,0.0004248551,0.0007412928,0.000650463,0.0003915977,0.001351524,0.0002620584,0.0008963161,0.0006641776],"category_scores_gemma":[0.001954517,0.0001532318,0.0004037451,0.0007840011,0.0002654157,0.000788781,0.0004741112,0.0008724561,0.0001866836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003221584,"about_ca_system_score_gemma":0.0002763981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004720987,"about_ca_topic_score_gemma":0.0004618191,"domain_scores_codex":[0.9996351,0.0000948508,0.0000510733,0.00007111033,0.00008282121,0.00006493536],"domain_scores_gemma":[0.9990495,0.0002552154,0.0003347773,0.00004084191,0.0001556276,0.0001640511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001180905,0.0001201547,0.9883563,0.00003889793,0.0001275455,0.0006669435,0.0001038095,0.0001346308,0.002173001,0.000084699,0.0002913533,0.006721667],"study_design_scores_gemma":[0.00005700305,0.0007024788,0.9917601,0.00003417404,0.0002333179,0.002846099,0.0004027256,0.001537357,0.001140107,0.0004553706,0.0008087614,0.00002258708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997459,0.001163192,0.0001440827,0.0001778719,0.00003126401,0.000008477655,0.0001587598,0.000006814762,0.0008505603],"genre_scores_gemma":[0.9992567,0.0002317494,0.00009568511,0.00006257577,0.00005058738,0.000006636399,0.0001599442,0.000001780535,0.0001344043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001351524,"threshold_uncertainty_score":0.002706885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008002835428053374,"score_gpt":0.2253077937717828,"score_spread":0.2173049583437295,"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."}}