{"id":"W4411112629","doi":"10.1111/nph.70287","title":"Measuring natural selection on the transcriptome","year":2025,"lang":"en","type":"review","venue":"New Phytologist","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of King's College","funders":"Division of Integrative Organismal Systems; Division of Molecular and Cellular Biosciences; Natural Sciences and Engineering Research Council of Canada; Swedish Collegium for Advanced Study; National Science Foundation","keywords":"Selection (genetic algorithm); Natural selection; Extant taxon; Biology; Transcriptome; Field (mathematics); Computational biology; Computer science; Machine learning; Artificial intelligence; Evolutionary biology; Gene; Gene expression; Genetics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001527636,0.0008930937,0.001713013,0.00260477,0.0002377858,0.001582133,0.0009361547,0.001037517,0.001504262],"category_scores_gemma":[0.001344975,0.0003682145,0.0005798538,0.002276208,0.0009823537,0.001666627,0.0008162837,0.001661131,0.001443585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009974322,"about_ca_system_score_gemma":0.001053824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001199849,"about_ca_topic_score_gemma":0.001339443,"domain_scores_codex":[0.9996166,0.00007416457,0.00002806293,0.0001391636,0.0001166393,0.00002534005],"domain_scores_gemma":[0.9992181,0.0004705836,0.00008736754,0.000030834,0.0001498322,0.00004329298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005598108,0.00003869374,0.0008454404,0.01108174,0.0001428128,0.00009500162,0.0000707807,0.0007519908,0.00973885,0.008372743,0.0105437,0.9582623],"study_design_scores_gemma":[0.0000169262,0.0001701772,0.007716781,0.004604865,0.000268072,0.001139345,0.0001424634,0.0005728689,0.008092131,0.01220867,0.9649673,0.0001005194],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003981989,0.9962287,0.001392007,0.0003988528,0.0001549199,0.000008012173,0.00007612495,0.00002119653,0.001322064],"genre_scores_gemma":[0.002121325,0.9954534,0.001207735,0.0002701345,0.0001608701,0.00002072008,0.0001168686,0.000006247255,0.0006426687],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00260477,"threshold_uncertainty_score":0.008078992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06150289365927079,"score_gpt":0.2871840227330875,"score_spread":0.2256811290738167,"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."}}