{"id":"W2759149299","doi":"10.1016/j.cjca.2017.07.411","title":"PROFILING AND CHARACTERIZING MICRORNAS IN PATIENTS WITH HEREDITARY HEMORRHAGIC TELANGIECTASIA","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Vascular Anomalies and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York Central Hospital","funders":"","keywords":"Medicine; Peripheral blood mononuclear cell; Haploinsufficiency; Telangiectases; Paracrine signalling; Angiogenesis; Pathology; Telangiectasia; microRNA; Endoglin; Buffy coat; Progenitor cell; Immunology; Phenotype; Cancer research; Gene; Internal medicine; CD34; Biology; In vitro; Stem cell; Receptor; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000289109,0.0003769533,0.0004497229,0.00103385,0.0004791734,0.0009151725,0.0003114981,0.0007463358,0.0010757],"category_scores_gemma":[0.001993082,0.0002160367,0.0002411286,0.0008389301,0.0003004261,0.0003451018,0.0002107498,0.0004099796,0.000257537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003483918,"about_ca_system_score_gemma":0.0002300604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001008306,"about_ca_topic_score_gemma":0.001319041,"domain_scores_codex":[0.9994993,0.00008795114,0.00007620805,0.0001330624,0.0001268934,0.00007644914],"domain_scores_gemma":[0.9993843,0.0002969368,0.0001510145,0.00002772295,0.000084308,0.00005557145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001119093,0.0001176608,0.9226607,0.00007599869,0.0001089235,0.006586473,0.0004167452,0.0002932939,0.04104069,0.0002168394,0.0008360442,0.02652753],"study_design_scores_gemma":[0.00005395959,0.0005149796,0.9439837,0.00004574803,0.0002778059,0.03132743,0.001073759,0.002572851,0.01673797,0.0005460201,0.002828622,0.00003727214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967247,0.0008470247,0.0006089744,0.0001270458,0.00002383576,0.00001484599,0.0002843495,0.00002761423,0.001341665],"genre_scores_gemma":[0.9982186,0.0002531508,0.0006829546,0.0001410616,0.000027373,0.0000151103,0.0002625257,0.00001224877,0.0003869629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0010757,"threshold_uncertainty_score":0.00359863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008765814145567312,"score_gpt":0.2122399194546566,"score_spread":0.2034741053090893,"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."}}