{"id":"W4387705779","doi":"10.1038/s41598-023-44469-w","title":"Species-specific microRNA discovery and target prediction in the soybean cyst nematode","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Carleton University","funders":"","keywords":"Biology; Soybean cyst nematode; Genome; Computational biology; microRNA; Effector; Gene; Genetics; Caenorhabditis elegans; Transcriptome; Gene expression; Cell biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00100521,0.0000955928,0.0001138399,0.00004055323,0.0004772167,0.0006700855,0.0001211543,0.00002648746,0.0001044742],"category_scores_gemma":[0.00002153175,0.00003315819,0.00004341812,0.001014204,0.0001411658,0.0002826832,0.0001148716,0.00005813345,0.00004339047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009027399,"about_ca_system_score_gemma":0.000002983954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001032163,"about_ca_topic_score_gemma":0.00007339055,"domain_scores_codex":[0.9987192,0.00004616561,0.0002837722,0.0004185613,0.0003176057,0.0002146585],"domain_scores_gemma":[0.999662,0.00005107505,0.0001139381,0.0001188745,0.00002841261,0.00002572315],"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":[0.00001083829,0.00008776449,0.1573158,0.00002649741,0.00001454766,0.0004405023,0.001639168,0.000008359219,0.5870686,0.001120695,0.2501402,0.002127002],"study_design_scores_gemma":[0.00004720376,0.00001547555,0.6153869,0.00002042035,0.000004035686,0.00004310118,0.002960322,0.00003274995,0.001086511,0.003167941,0.3771257,0.0001096796],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934317,0.00009088079,0.000005630891,0.00172878,0.001532848,0.0002519777,0.00001512152,0.00007762609,0.002865457],"genre_scores_gemma":[0.989473,0.00005249728,0.000005859998,0.00006410929,0.0001433063,0.00002381502,0.0003537422,8.231601e-7,0.009882805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5859821,"threshold_uncertainty_score":0.646165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418101617904432,"score_gpt":0.2099924653673616,"score_spread":0.1858114491883173,"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."}}