{"id":"W2769915029","doi":"10.1038/s41559-017-0385-2","title":"What genomic data can reveal about eco-evolutionary dynamics","year":2017,"lang":"en","type":"review","venue":"Nature Ecology & Evolution","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Institute of General Medical Sciences; Eidgenössische Technische Hochschule Zürich","keywords":"Evolutionary dynamics; Dynamics (music); Evolutionary ecology; Natural selection; Evolutionary biology; Human evolutionary genetics; Biology; Data science; Computer science; Ecology; Selection (genetic algorithm); Artificial intelligence; Genome; Sociology; Population; 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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0007034159,0.0008296402,0.001423758,0.0002820523,0.0006384804,0.0001349332,0.002759044,0.005014671,0.00004523779],"category_scores_gemma":[0.0004700624,0.0008389316,0.0005341874,0.0001640662,0.000474578,0.00003912026,0.001897233,0.001826332,0.0001607349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070054,"about_ca_system_score_gemma":0.002239333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003392938,"about_ca_topic_score_gemma":0.004749548,"domain_scores_codex":[0.9956536,0.0004657823,0.0008920532,0.001851613,0.000287555,0.000849375],"domain_scores_gemma":[0.994557,0.00005717509,0.001081937,0.003807236,0.0002570932,0.0002395752],"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":[0.0001441051,0.0005903277,0.002434711,0.006571069,0.00243818,0.00007281838,0.00002900197,0.0002302267,0.00008264157,0.004030231,0.2966063,0.6867704],"study_design_scores_gemma":[0.0003773379,0.0001602104,0.006382687,0.0008374176,0.0007520775,0.0003834368,0.00002011066,0.001372776,2.766425e-7,0.0002597472,0.9886361,0.0008178585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001844154,0.9889042,0.0003420895,0.0003198343,0.006459735,0.001044272,0.002075089,0.00005743653,0.0006128739],"genre_scores_gemma":[0.001168979,0.9390329,0.0007636313,0.0002275702,0.001863861,0.00009580002,0.04841429,0.0001317283,0.00830124],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6920298,"threshold_uncertainty_score":0.9994062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494360189965397,"score_gpt":0.3432910835598449,"score_spread":0.318347481660191,"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."}}