{"id":"W3130246923","doi":"10.1002/evl3.218","title":"Regional differences in rapid evolution during severe drought","year":2021,"lang":"en","type":"article","venue":"Evolution Letters","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biology; Climate change; Range (aeronautics); Context (archaeology); Biodiversity; Ecology; Adaptation (eye); Phenotypic plasticity; Habitat; Trait; Drought tolerance; Population; Geography; Agronomy; Demography","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":[0.0002212003,0.0001118267,0.0001752021,0.0004662201,0.0002242859,0.0003389379,0.0001493383,0.0001540115,0.00089608],"category_scores_gemma":[0.0003264681,0.00008466688,0.0001255895,0.0002976033,0.0002071929,0.0001479424,0.00030982,0.000235252,0.0000981387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001530484,"about_ca_system_score_gemma":0.00007317246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045821,"about_ca_topic_score_gemma":0.003416842,"domain_scores_codex":[0.999898,0.00001827379,0.000004159142,0.00004885713,0.00001109385,0.00001969608],"domain_scores_gemma":[0.9997382,0.00005120694,0.00008856655,0.00002797807,0.00003724546,0.00005683562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003413759,0.00004449094,0.5642492,0.00003647164,0.0001203434,0.0001819321,0.0009055418,0.000449598,0.4265244,0.0002231096,0.0001100727,0.006813524],"study_design_scores_gemma":[0.000001345626,0.00002742101,0.9985258,0.00000130694,0.000005429426,0.00006788513,0.0001091355,0.0001565562,0.0009218903,0.00003390864,0.0001469647,0.00000228082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996887,0.00002142635,0.00007277093,0.000003603252,6.014894e-7,7.448847e-7,0.00004007384,0.000002237893,0.000169763],"genre_scores_gemma":[0.9997482,0.000009934073,0.00006898495,0.000005527747,0.000001235888,0.000001483061,0.00007001399,0.000002241358,0.0000925354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001045821,"threshold_uncertainty_score":0.002997637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008583928331665937,"score_gpt":0.1957593605694125,"score_spread":0.1871754322377465,"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."}}