{"id":"W4391044393","doi":"10.1186/s12862-024-02201-w","title":"Evolutionary shift detection with ensemble variable selection","year":2024,"lang":"en","type":"article","venue":"BMC Ecology and Evolution","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Tree (set theory); Phylogenetic tree; Selection (genetic algorithm); Algorithm; Variance (accounting); Trait; Variable (mathematics); Artificial intelligence; Statistics; Machine learning; Mathematics; Biology; Combinatorics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000250273,0.0001327377,0.0001362754,0.0001632762,0.0005336448,0.0000304418,0.00004334679,0.000179747,0.0003902171],"category_scores_gemma":[0.00003554545,0.0001078767,0.00002719034,0.0003598303,0.0001775917,0.0003136865,0.000006930233,0.0001948169,0.0002512723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003079244,"about_ca_system_score_gemma":0.0001251996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007934679,"about_ca_topic_score_gemma":0.1594326,"domain_scores_codex":[0.9990022,0.0001315297,0.00014815,0.0003387277,0.00009216145,0.0002872905],"domain_scores_gemma":[0.9995709,0.0002241188,0.00003373287,0.00006630002,0.00003938012,0.00006559169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001227597,0.00001117851,0.9907083,0.00005214839,0.00004300714,0.000003809492,0.00007464907,0.001252083,0.00005489789,0.005852723,0.0005909277,0.001233534],"study_design_scores_gemma":[0.0001948107,0.0003357222,0.9432303,0.00001750997,0.00005231976,0.0002270069,0.00009405067,0.04324538,0.00001005159,0.009421693,0.003033146,0.0001379559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8689201,0.009644188,0.0970646,0.0003522327,0.001617833,0.0003270393,0.00002462579,0.0004944502,0.02155494],"genre_scores_gemma":[0.9959432,0.00006194205,0.003028064,0.00006103126,0.0001767113,0.00000906695,0.00002907012,0.000003494484,0.0006874431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1586391,"threshold_uncertainty_score":0.8559056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009831859062971534,"score_gpt":0.2013702064715227,"score_spread":0.1915383474085511,"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."}}