{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001632115,0.0007175139,0.0004683854,0.0003533639,0.001139512,0.0009478849,0.001168505,0.0002702068,0.000005595795],"category_scores_gemma":[0.001559824,0.0005875301,0.0002667017,0.00146708,0.0009138939,0.0001794417,0.001354057,0.0003925247,0.00005915817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008735271,"about_ca_system_score_gemma":0.000209053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006301911,"about_ca_topic_score_gemma":0.00001165051,"domain_scores_codex":[0.9946411,0.0001968497,0.0008632317,0.001875276,0.001109456,0.00131406],"domain_scores_gemma":[0.9974082,0.000340241,0.0004980407,0.0009724725,0.0003401045,0.0004409057],"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":[0.000002126881,0.0002512159,0.002833619,0.0004840498,0.0001470091,0.000008600521,0.0007260435,0.0004174504,0.8216789,0.0004204883,0.1722414,0.0007890078],"study_design_scores_gemma":[0.0005256849,0.0004587499,0.001346262,0.0002063773,0.0001730129,0.00002252722,0.001207509,0.001620115,0.8686989,0.0005354687,0.1251114,0.00009394532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773818,0.007698765,0.002030094,0.0001932909,0.001044767,0.001584385,0.0001478509,0.0001699103,0.009749174],"genre_scores_gemma":[0.9859215,0.00254983,0.001188586,0.000878475,0.0005679034,0.0003903824,0.0002146661,0.00009621625,0.008192422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04713002,"threshold_uncertainty_score":0.9996576,"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."}}