{"id":"W4394955711","doi":"10.1038/s41559-024-02401-z","title":"Effects of urban-induced mutations on ecology, evolution and health","year":2024,"lang":"en","type":"article","venue":"Nature Ecology & Evolution","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Health Canada; General Electric (Canada); University of Toronto; Environment and Climate Change Canada","funders":"Virginia Commonwealth University; National Science Foundation","keywords":"Ecology; Evolutionary ecology; Urban ecology; Geography; Evolutionary biology; Biology; Urbanization","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":[0.0003093073,0.0002751185,0.0002370284,0.0005061115,0.0004021795,0.0006341877,0.0003628086,0.0003855439,0.005978867],"category_scores_gemma":[0.0009191731,0.0001229865,0.0003336361,0.0003268986,0.0007978798,0.0001799559,0.0007377203,0.0003922734,0.0002309599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009526309,"about_ca_system_score_gemma":0.0006398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003918138,"about_ca_topic_score_gemma":0.009025571,"domain_scores_codex":[0.9995407,0.0001970117,0.00001809381,0.00008075134,0.00003990834,0.0001234954],"domain_scores_gemma":[0.9992619,0.0001770053,0.0001491119,0.00009917482,0.00006771596,0.0002451178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02101565,0.005873512,0.4573717,0.0002507259,0.0009644149,0.002863253,0.001129992,0.01500679,0.4274281,0.0082921,0.001462916,0.05834092],"study_design_scores_gemma":[0.0001739911,0.003545392,0.952764,0.0000235612,0.0002205819,0.0009623657,0.00174426,0.006856227,0.03002986,0.002061873,0.001566628,0.00005129609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991442,0.00004510122,0.0001901183,0.00004812983,0.000006089914,0.000002799108,0.00005904604,0.00000918214,0.0004953285],"genre_scores_gemma":[0.9994772,0.00002560283,0.00007298598,0.0000124394,0.000001597435,0.000002848002,0.00003302186,0.000005574667,0.0003687816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005978867,"threshold_uncertainty_score":0.02000123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222334583314954,"score_gpt":0.2778992668120969,"score_spread":0.2656759209789473,"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."}}