{"id":"W2508828506","doi":"10.1161/atvbaha.116.307481","title":"Nanomedicine Meets microRNA","year":2016,"lang":"en","type":"review","venue":"Arteriosclerosis Thrombosis and Vascular Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Coronary artery disease; microRNA; Disease; Context (archaeology); Medicine; Bioinformatics; Cause of death; Neuroscience; Biology; Pathology; Internal medicine","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":[0.0005756055,0.001166531,0.001166076,0.0009074196,0.000492187,0.001622546,0.0007314096,0.002815415,0.01090089],"category_scores_gemma":[0.0006853724,0.0003853782,0.0004709106,0.0007875417,0.00097394,0.002462835,0.00133339,0.003495223,0.01071703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000740802,"about_ca_system_score_gemma":0.0008256253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002976589,"about_ca_topic_score_gemma":0.0005253307,"domain_scores_codex":[0.9994664,0.00009350165,0.00005847251,0.00008959037,0.0002508532,0.00004125346],"domain_scores_gemma":[0.9997123,0.000126144,0.00004248902,0.00001708705,0.00006983383,0.00003205239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006065824,0.00008426198,0.0001091495,0.008857168,0.0000561158,0.0003886665,0.0001447623,0.000286671,0.02238199,0.02258552,0.07016393,0.874881],"study_design_scores_gemma":[0.00000509745,0.00003464355,0.00007401522,0.0003474326,0.00001005809,0.0006093098,0.00001913823,0.00008685036,0.002070527,0.002983293,0.9937505,0.000009068764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000466092,0.9656602,0.003838757,0.005372525,0.005063517,0.00004310338,0.00006643856,0.0001383111,0.01935116],"genre_scores_gemma":[0.006551776,0.954001,0.004768242,0.005601781,0.002995668,0.0001041767,0.0001169212,0.00004004329,0.02582045],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01090089,"threshold_uncertainty_score":0.03646708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997685654470137,"score_gpt":0.3204071476582372,"score_spread":0.2804302911135359,"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."}}