{"id":"W2614012573","doi":"10.1098/rstb.2016.0146","title":"Evolution caused by extreme events","year":2017,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":253,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Diversification (marketing strategy); Climate change; Ecology; Environmental change; Extreme weather; Evolutionary biology; Biology","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":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.000395764,0.000124757,0.0001441272,0.000003837693,0.002070921,0.00004086733,0.001116533,0.0001442664,0.01355708],"category_scores_gemma":[0.00008063967,0.00007012312,0.0003364559,0.0001565811,0.002928645,0.0001347699,0.0001233035,0.0001782732,0.0001035119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002062949,"about_ca_system_score_gemma":0.000009127477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003617911,"about_ca_topic_score_gemma":0.00002126868,"domain_scores_codex":[0.9986951,0.00006710345,0.0001946688,0.0003279232,0.0004281331,0.0002870701],"domain_scores_gemma":[0.9993549,0.00005438053,0.0001568683,0.0003224984,0.00001233802,0.00009902061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007531056,0.002210805,0.9036177,0.00002635781,0.000113716,8.894839e-7,0.0002927931,0.001587623,0.05512673,0.01790907,0.01418826,0.004850692],"study_design_scores_gemma":[0.0004989812,0.0002658221,0.9554791,0.00001657021,0.00003370333,0.000001471368,0.000276702,0.003025657,0.002353128,0.03481976,0.002906568,0.0003224705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954467,0.00007508214,0.00408154,0.02312289,0.0003704278,0.0002639531,0.0001835715,0.00005572406,0.0173798],"genre_scores_gemma":[0.9993901,0.00004319742,0.0000728922,0.000198554,0.00002985112,0.00001429493,0.000002716671,0.000002708126,0.0002457403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0527736,"threshold_uncertainty_score":0.9997848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013757937025995,"score_gpt":0.2848966886261325,"score_spread":0.1835208949235331,"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."}}