{"id":"W2911529453","doi":"10.1111/ecog.04264","title":"A macroecological approach to evolutionary rescue and adaptation to climate change","year":2019,"lang":"en","type":"article","venue":"Ecography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Genetics","funders":"","keywords":"Biological dispersal; Climate change; Ecology; Range (aeronautics); Niche; Species distribution; Adaptation (eye); Population; Environmental niche modelling; Environmental change; Abiotic component; Evolutionary ecology; Biology; Ecological niche; Habitat","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":[0.001082605,0.0006785489,0.0005916494,0.002142651,0.0005691341,0.00194007,0.001742846,0.001007685,0.003348313],"category_scores_gemma":[0.002837209,0.0003172474,0.0009071762,0.001461702,0.002003253,0.001954919,0.001749476,0.001555147,0.0002498833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146179,"about_ca_system_score_gemma":0.0007076933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005348794,"about_ca_topic_score_gemma":0.004916203,"domain_scores_codex":[0.99957,0.0002205359,0.00002521415,0.00009381685,0.00005151693,0.00003899992],"domain_scores_gemma":[0.998973,0.0004651808,0.0001985174,0.0001396684,0.0001238548,0.00009983956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002297914,0.00002963546,0.009822971,0.0001712215,0.0002149217,0.0001776185,0.0002597305,0.3378215,0.001540807,0.6246997,0.001389001,0.02384987],"study_design_scores_gemma":[0.000008892956,0.00006426419,0.01354711,0.00006257289,0.00005575575,0.0002448081,0.0003944146,0.389261,0.0003105886,0.5782325,0.01777296,0.00004513374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1059397,0.008378761,0.8326364,0.007069611,0.0004891242,0.00009053398,0.0006861095,0.0002473005,0.04446248],"genre_scores_gemma":[0.895368,0.005362673,0.09017409,0.0009632654,0.0006749085,0.0002504929,0.0002243148,0.0002175448,0.00676473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005348794,"threshold_uncertainty_score":0.01120126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650743200882617,"score_gpt":0.2370039794234509,"score_spread":0.2004965474146247,"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."}}