{"id":"W2971523749","doi":"10.1139/bcb-2019-0163","title":"MicroRNA profiling of human myeloid angiogenic cells derived from peripheral blood mononuclear cells","year":2019,"lang":"en","type":"article","venue":"Biochemistry and Cell Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"microRNA; Biology; Peripheral blood mononuclear cell; Myeloid; Gene expression profiling; Computational biology; Function (biology); Gene expression; Cell biology; Molecular biology; Gene; Genetics; Immunology; In vitro","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":[0.0002668394,0.000147359,0.0002531834,0.0003943502,0.0001209354,0.0003075046,0.00006033436,0.0001620555,0.0006032823],"category_scores_gemma":[0.0004058871,0.00009259721,0.0001488283,0.0002934677,0.00008857439,0.0000655823,0.0001233733,0.0001886109,0.000406286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007334284,"about_ca_system_score_gemma":0.0001321605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002593278,"about_ca_topic_score_gemma":0.000302603,"domain_scores_codex":[0.9998016,0.00003570209,0.00001864055,0.00005619696,0.00006337355,0.00002453287],"domain_scores_gemma":[0.9998809,0.00003519391,0.00001566856,0.000009968106,0.00004293458,0.00001533001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002378017,0.00001556058,0.002078874,0.00004090385,0.000007674794,0.00005362821,0.000055114,0.00004617441,0.9938684,0.0000416029,0.00005329065,0.00350106],"study_design_scores_gemma":[0.00003027162,0.0006501217,0.08121268,0.00003080403,0.000102184,0.0010075,0.0001666731,0.002709073,0.9055089,0.0001211921,0.0084439,0.00001675837],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837201,0.003445806,0.009645114,0.00004515478,0.00003353482,0.00006855935,0.001466848,0.00007502861,0.00149984],"genre_scores_gemma":[0.97368,0.001997662,0.01777168,0.0001578673,0.00004019215,0.0002303102,0.0032406,0.00003588622,0.00284583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006032823,"threshold_uncertainty_score":0.002018213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005004843855947646,"score_gpt":0.2059285164608959,"score_spread":0.2009236726049483,"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."}}