{"id":"W4414494523","doi":"10.1126/science.adr7368","title":"Global selection on insect antipredator coloration","year":2025,"lang":"en","type":"article","venue":"Science","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Western Sydney University; Česká Zemědělská Univerzita v Praze; Universidade de São Paulo; Seoul National University; Mokpo National University; Jyväskylän Yliopisto; Universiteit van Amsterdam; Directorate for Biological Sciences; Universidad del Rosario; Swansea University; University of Exeter; Fakultu Agrobiologie, Potravinových a Prírodních Zdrojů, Česká Zemědělská Univerzita v Praze; Georg-August-Universität Göttingen; Escuela de Ciencias Biológicas, Universidad Nacional Costa Rica; Universidad de Buenos Aires; Helsingin Yliopisto; George Mason University","keywords":"Aposematism; Camouflage; Predation; Crypsis; Context (archaeology); Natural selection; Predator","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004685868,0.0003207007,0.0003942297,0.0005318844,0.0002121407,0.0005719747,0.00027383,0.0003337627,0.001114797],"category_scores_gemma":[0.0007781979,0.0002098175,0.0002507546,0.0002326099,0.0007340785,0.0002623764,0.0006550964,0.0002662333,0.0001283193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003328818,"about_ca_system_score_gemma":0.0001292841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104523,"about_ca_topic_score_gemma":0.003456705,"domain_scores_codex":[0.9997321,0.00009285472,0.00001149817,0.00007879711,0.00004282858,0.00004205191],"domain_scores_gemma":[0.9992108,0.0002319139,0.0001764991,0.000143179,0.0001063441,0.0001311515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005294555,0.00008973166,0.4949135,0.00008638138,0.0003904811,0.0002714635,0.0004048319,0.002167171,0.4832962,0.0003710159,0.0001287644,0.01735087],"study_design_scores_gemma":[0.00001017568,0.0001688053,0.9960133,0.000002906415,0.00004216991,0.0001078431,0.0001420109,0.0007868333,0.002523725,0.00009062127,0.0001028089,0.00000881524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993505,0.00004736637,0.0001075665,0.000007457559,6.981068e-7,0.000001236263,0.00001828361,0.000008256931,0.0004586585],"genre_scores_gemma":[0.9997401,0.00002092282,0.0001052083,0.00001319286,8.97205e-7,0.000001667011,0.00003269645,0.000004744436,0.00008059425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001114797,"threshold_uncertainty_score":0.003729343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353283147552191,"score_gpt":0.2421981077179042,"score_spread":0.2068697929626852,"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."}}