{"id":"W2095082015","doi":"10.1186/s12870-014-0355-7","title":"Potential functions of microRNAs in starch metabolism and development revealed by miRNA transcriptome profiling of cassava cultivars and their wild progenitor","year":2015,"lang":"en","type":"article","venue":"BMC Plant Biology","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"Earmarked Fund for China Agriculture Research System; National Institute of General Medical Sciences; National Natural Science Foundation of China","keywords":"Biology; Transcriptome; microRNA; Gene; Small RNA; Deep sequencing; Gene expression; Gene expression profiling; Computational biology; Genetics; RNA-Seq; Genome","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":[0.0001032795,0.0002226419,0.0002428637,0.0002852793,0.0001559998,0.0002859285,0.0001219627,0.0002057648,0.0003233409],"category_scores_gemma":[0.0001670293,0.0001466848,0.0002559474,0.0002017678,0.0001427734,0.0001605827,0.0001763386,0.0002102452,0.0001701068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001863975,"about_ca_system_score_gemma":0.0001413481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004350201,"about_ca_topic_score_gemma":0.0005979232,"domain_scores_codex":[0.9999183,0.00000733743,0.000009487982,0.00004143042,0.00001167785,0.00001167858],"domain_scores_gemma":[0.9998665,0.00003986162,0.00003511789,0.00001690766,0.00002493706,0.00001668867],"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":[0.000100079,0.000005316483,0.003938771,0.00001835332,0.00000552946,0.00004680985,0.00005591041,0.00003534865,0.9948584,0.00003323724,0.00000970343,0.0008925079],"study_design_scores_gemma":[0.00001556363,0.0005174426,0.3841217,0.0000154195,0.0001345024,0.001157619,0.0003375623,0.003080524,0.6071142,0.0002650746,0.003211823,0.00002859098],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984545,0.000247109,0.0007157823,0.000009350543,0.000002726223,0.000005149883,0.0002796173,0.00001630016,0.0002694228],"genre_scores_gemma":[0.9948495,0.0001816644,0.002381153,0.00002660582,0.000003191984,0.00003719562,0.001738358,0.00002530666,0.0007569941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004350201,"threshold_uncertainty_score":0.001352429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387134957085208,"score_gpt":0.2506730894144283,"score_spread":0.2068017398435762,"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."}}