{"id":"W2562292836","doi":"10.1073/pnas.1606034114","title":"Global urban signatures of phenotypic change in animal and plant populations","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":505,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Fondo Nacional de Desarrollo Científico y Tecnológico; John D. and Catherine T. MacArthur Foundation","keywords":"Ecosystem; Phenotype; Biology; Trait; Ecology; Function (biology); Phenotypic trait; Environmental change; Global change; Climate change; Evolutionary biology; Genetics; Gene","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":[0.0004341967,0.00004716938,0.00009385574,0.00002890708,0.0001779788,0.00001819646,0.0005461769,0.00004459056,0.00002064072],"category_scores_gemma":[0.0000634652,0.00002901457,0.00001945946,0.0001569108,0.000227364,0.0005693371,0.0002131921,0.00003979458,5.840126e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001878041,"about_ca_system_score_gemma":0.000003066885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003992176,"about_ca_topic_score_gemma":0.00003930011,"domain_scores_codex":[0.9991878,0.000002510106,0.0001577899,0.0001274576,0.0004396678,0.00008472],"domain_scores_gemma":[0.9996325,0.00001420715,0.00031321,0.000007946785,0.00001359613,0.00001850944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009140058,0.00001766126,0.9819963,0.0000279696,0.000001834095,3.375145e-9,0.000182488,0.00003759677,0.006236354,0.01129803,0.00007748578,0.0001151197],"study_design_scores_gemma":[0.00008458896,0.00002048427,0.9814976,0.00005662674,0.000003609609,0.000001148467,0.00003825107,0.00226294,0.003026261,0.01294659,0.00002702624,0.00003483993],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949216,0.0000903188,2.684239e-8,0.001043243,0.00001083197,0.00009325362,0.00002868444,0.000001952161,0.003810146],"genre_scores_gemma":[0.9997012,0.00001149225,0.0001969241,0.0000550633,0.00002695433,0.00000350862,8.608016e-8,8.960746e-7,0.000003848221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004779683,"threshold_uncertainty_score":0.1368887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05614233272207622,"score_gpt":0.301814690966143,"score_spread":0.2456723582440668,"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."}}