{"id":"W2978659366","doi":"10.1111/evo.13858","title":"Digest: Sexual selection and evolution of cognition in seed beetles*","year":2019,"lang":"en","type":"letter","venue":"Evolution","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Biology; Sexual selection; Selection (genetic algorithm); Cognition; Mating; Evolutionary biology; Directional selection; Mating system; Mate choice; Balancing selection; Task (project management); Genetic variation; Zoology; Genetics; Artificial intelligence; Neuroscience; Computer science","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":[0.0001416107,0.0001718077,0.000196518,0.0001578519,0.00005611166,0.000006551444,0.00006162016,0.001101233,0.00001356243],"category_scores_gemma":[0.00002819503,0.000185632,0.00004711842,0.00009352416,0.00006630302,0.000008699043,0.00003900806,0.0004396966,0.0000141083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000882137,"about_ca_system_score_gemma":0.0001053158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001189784,"about_ca_topic_score_gemma":0.0002067734,"domain_scores_codex":[0.9990057,0.00009977633,0.0002335703,0.0003408091,0.0001004599,0.0002197075],"domain_scores_gemma":[0.999614,0.00001286736,0.000159153,0.0001240375,0.00007682883,0.00001309165],"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":[0.0001308678,0.0000842963,0.1125567,0.0001699,0.00003371507,0.00000513955,0.00002745371,0.00002727249,0.846261,0.00002960529,0.0405138,0.0001602492],"study_design_scores_gemma":[0.001811602,0.001600016,0.9394222,0.0001267924,0.0002326262,0.0001178129,0.00008810571,0.000314388,0.03781676,0.0003345493,0.01738509,0.0007500487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956863,0.0004340313,0.0003239209,0.002577184,0.0003653814,0.0003287275,0.00004595076,0.00001224502,0.0002262843],"genre_scores_gemma":[0.9932308,0.00002646911,0.00003551844,0.003263304,0.0009456428,0.00002902034,0.001236835,0.00001987935,0.001212566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8268655,"threshold_uncertainty_score":0.8493716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006775319939320765,"score_gpt":0.2221738792038953,"score_spread":0.2153985592645745,"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."}}