{"id":"W1968197443","doi":"10.1371/journal.pone.0050746","title":"The Repertoire and Features of Human Platelet microRNAs","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":225,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval","funders":"Canadian Institutes of Health Research; Canadian Blood Services","keywords":"microRNA; Drosha; Biology; Dicer; Transcriptome; Messenger RNA; MiRBase; Cell biology; Platelet; Platelet disorder; RNA; Computational biology; Genetics; RNA interference; Gene expression; Gene; Immunology","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":[0.0001242769,0.0001936178,0.000243794,0.0004149333,0.0001742679,0.0003506471,0.00008577428,0.0002676144,0.0006223729],"category_scores_gemma":[0.0004703684,0.0001727436,0.0001684364,0.0002906684,0.0001299332,0.0001638197,0.0001719751,0.0001936189,0.0004490549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007629482,"about_ca_system_score_gemma":0.000121057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001144633,"about_ca_topic_score_gemma":0.0001420897,"domain_scores_codex":[0.9998254,0.00002986295,0.00001931498,0.00007042946,0.00003999287,0.00001500617],"domain_scores_gemma":[0.9998531,0.00004982223,0.00004091759,0.00001606548,0.00002200789,0.00001801427],"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":[0.0002609793,0.00001095121,0.005676872,0.0001149568,0.00002738287,0.0004593073,0.00009671532,0.0002841797,0.9760207,0.0003476637,0.0001972029,0.01650312],"study_design_scores_gemma":[0.00004515397,0.0008569327,0.1945977,0.00006455091,0.0002268109,0.01829126,0.000174643,0.0046467,0.7509543,0.001892799,0.02817057,0.00007867177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774705,0.006825649,0.01054806,0.0001208985,0.00002050899,0.00003866963,0.002052218,0.0001055979,0.002817935],"genre_scores_gemma":[0.987508,0.001573888,0.007359013,0.0001120873,0.00002904397,0.00005115126,0.002197919,0.00002824927,0.001140681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006223729,"threshold_uncertainty_score":0.00208199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01689225406781452,"score_gpt":0.2323741906944619,"score_spread":0.2154819366266474,"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."}}