{"id":"W2010578209","doi":"10.1111/eva.12121","title":"Climate change and mammals: evolutionary versus plastic responses","year":2013,"lang":"en","type":"article","venue":"Evolutionary Applications","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Biodiversity Monitoring Institute; Climate Change and Emissions Management Corporation","keywords":"Biology; Microevolution; Phenotypic plasticity; Climate change; Trait; Mechanism (biology); Ecology; Evolutionary biology; Adaptation (eye); Evolutionary ecology; Environmental change; Ecological genetics; Natural selection; Mammal; Selection (genetic algorithm); Population; Neuroscience; Demography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006706538,0.0001236502,0.00009811462,0.00003713196,0.0007078776,0.000009957846,0.0001270978,0.00007600369,0.002887798],"category_scores_gemma":[0.00003500708,0.0001205904,0.0000304328,0.000186506,0.0005123249,0.0003421293,0.0002978296,0.0001027703,0.004995916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001165196,"about_ca_system_score_gemma":0.000007207454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001062096,"about_ca_topic_score_gemma":0.00003608009,"domain_scores_codex":[0.9990784,0.00004215022,0.0001534668,0.000320131,0.0001288938,0.0002769718],"domain_scores_gemma":[0.9993783,0.0002849927,0.00005293696,0.0001771194,0.00001611866,0.00009055008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001666125,0.000405666,0.9358929,0.00001488334,0.00002692673,0.000004068123,0.0001974307,0.00002835985,0.001604203,0.01528031,0.02785106,0.01852756],"study_design_scores_gemma":[0.0002166998,0.00008837362,0.9765685,0.000003383809,0.00002527341,0.0000140996,0.000118743,0.0003097498,0.000003975263,0.0009760257,0.02153786,0.0001372767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789855,0.001537781,0.0004724097,0.003068113,0.0002191356,0.001520211,0.0001268907,0.0002404234,0.01382957],"genre_scores_gemma":[0.9936107,0.0003481772,0.002046141,0.0001076722,0.00009411976,0.003225036,0.00002348403,0.0000100501,0.0005346623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04067561,"threshold_uncertainty_score":0.9980237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03690829794665916,"score_gpt":0.2687614809956626,"score_spread":0.2318531830490034,"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."}}