{"id":"W2924058586","doi":"10.1111/evo.13725","title":"Ecological specialization in populations adapted to constant versus heterogeneous environments*","year":2019,"lang":"en","type":"article","venue":"Evolution","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Ecology; Adaptation (eye); Juvenile; Environmental change; Population; Local adaptation; Evolutionary biology; Climate change","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040513,0.000121511,0.0002557661,0.0006132375,0.0002813275,0.0003783575,0.0002102571,0.0002209819,0.0005114209],"category_scores_gemma":[0.0007447525,0.000142636,0.0001627499,0.0002338815,0.0004850941,0.0001929781,0.0005438088,0.0002303165,0.00005186683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002546762,"about_ca_system_score_gemma":0.00009607593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007487226,"about_ca_topic_score_gemma":0.002757388,"domain_scores_codex":[0.9997764,0.00006010497,0.00002216674,0.00007185032,0.00003594717,0.00003342577],"domain_scores_gemma":[0.9994671,0.0001589597,0.0001475181,0.00007921392,0.00006281427,0.00008451335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000394362,0.00008989892,0.4345199,0.00005131174,0.000313493,0.0002369032,0.0008644365,0.001110009,0.5547023,0.0003972769,0.00007097801,0.007249071],"study_design_scores_gemma":[0.00001221132,0.0001698293,0.9926752,0.000004004381,0.00003534671,0.0002708549,0.0003293522,0.001328468,0.004722296,0.0002745989,0.0001643309,0.0000134799],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998167,0.00001370016,0.00007115982,0.000002591875,2.547377e-7,8.529745e-7,0.00001063178,0.000001076612,0.00008306028],"genre_scores_gemma":[0.9997364,0.00001279738,0.000125968,0.000008758513,8.143804e-7,0.000002489165,0.00005878643,0.00000157426,0.00005240009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007487226,"threshold_uncertainty_score":0.002142549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03100011795516216,"score_gpt":0.2657929485639516,"score_spread":0.2347928306087895,"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."}}