{"id":"W4396894161","doi":"10.1002/ps.8162","title":"<scp>MicroRNA bmo‐miR</scp>‐31‐5p inhibits apoptosis and promotes <scp>BmNPV</scp> proliferation by targeting the <scp><i>CYP9e2</i></scp> gene of <scp><i>Bombyx mori</i></scp>","year":2024,"lang":"en","type":"article","venue":"Pest Management Science","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; Earmarked Fund for China Agriculture Research System; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Bombyx mori; Biology; Apoptosis; microRNA; RNA interference; Immune system; Cell biology; Gene; Transcriptome; Cell growth; Gene expression; RNA; Genetics","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":[0.0001324263,0.0003481544,0.0002480604,0.0001932895,0.0002857856,0.0002832556,0.0001625303,0.000278097,0.001354146],"category_scores_gemma":[0.0001642122,0.0001216769,0.0003148345,0.0001352649,0.000284646,0.0001744606,0.0001599504,0.000653105,0.0004482357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003606638,"about_ca_system_score_gemma":0.0002880045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007288866,"about_ca_topic_score_gemma":0.0009786376,"domain_scores_codex":[0.9997696,0.00002443278,0.00001897666,0.00006261888,0.00008383898,0.00004061428],"domain_scores_gemma":[0.9999305,0.00001223969,0.00002263823,0.000005872311,0.00001328677,0.00001551637],"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":[0.0001396762,0.0000178621,0.0002139346,0.00006074536,0.000008468907,0.00003736102,0.00001260605,0.00006207829,0.9972007,0.0001218937,0.0002401461,0.001884484],"study_design_scores_gemma":[0.00004016079,0.0002671646,0.005129128,0.00001099909,0.00003998782,0.0002503356,0.00002746101,0.001530966,0.983292,0.0000710559,0.009333543,0.000007138188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705023,0.006965659,0.01081771,0.0005195831,0.0002502248,0.0001648278,0.001669072,0.0005679671,0.00854274],"genre_scores_gemma":[0.9868479,0.001620378,0.005660975,0.0002910177,0.00003208106,0.0001232719,0.001598338,0.00006561428,0.003760405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001354146,"threshold_uncertainty_score":0.004530132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006749582883110491,"score_gpt":0.2367718496079711,"score_spread":0.2300222667248606,"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."}}