{"id":"W4281619941","doi":"10.3390/f13060873","title":"Identification and Comparative Analysis of Conserved and Species-Specific microRNAs in Four Populus Sections","year":2022,"lang":"en","type":"article","venue":"Forests","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Biology; microRNA; Genetics; Gene; Nucleotide diversity; Single-nucleotide polymorphism; Populus trichocarpa; Adaptation (eye); Evolutionary biology; Populus euphratica; Genetic diversity; Identification (biology); Computational biology; Genome; Haplotype; Botany; Allele; Genotype; Population","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":[0.0002083009,0.00004422665,0.0001340263,0.00006237146,0.0001341127,0.0000155337,0.00007956275,0.00002203542,0.00008616134],"category_scores_gemma":[0.00001264151,0.00002156049,0.00002936248,0.0006958881,0.00008555771,0.00002232838,0.00009039815,0.00008093095,0.000001042953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001616719,"about_ca_system_score_gemma":0.000003147721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002408983,"about_ca_topic_score_gemma":0.02194443,"domain_scores_codex":[0.9993733,0.0001546588,0.0001256366,0.0001629096,0.000086854,0.0000965966],"domain_scores_gemma":[0.9997546,0.0001127338,0.00005141536,0.00003150239,0.00002284356,0.00002692547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002823717,0.0000226256,0.5692631,9.437956e-7,0.00003812078,0.00000352364,0.0000744517,0.00002881687,0.4298403,0.0003178978,0.0002113956,0.0001706237],"study_design_scores_gemma":[0.00007160252,0.00006905916,0.9949946,0.000001088431,0.00001527801,0.00001008471,0.0002536253,0.0003518656,0.002322563,0.000115267,0.001752368,0.00004254923],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990203,0.0002375589,0.000002106547,0.0002625177,0.00001850973,0.0001130097,0.0001857548,0.000005177534,0.0001550562],"genre_scores_gemma":[0.9995688,0.00003272671,0.000007436217,0.00001155162,0.00000645342,0.00001575013,0.0001478495,1.58523e-7,0.0002093134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4275177,"threshold_uncertainty_score":0.9959025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07232787470861701,"score_gpt":0.2776016419678649,"score_spread":0.2052737672592478,"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."}}