{"id":"W3020277135","doi":"10.1073/pnas.2000801117","title":"Hurricane effects on Neotropical lizards span geographic and phylogenetic scales","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; Division of Environmental Biology; Universidad Nacional Autónoma de México; Fonds Wetenschappelijk Onderzoek; John Templeton Foundation; National Science Foundation","keywords":"Anolis; Biodiversity; Climate change; Clade; Ecology; Lizard; Biology; Phylogenetic tree; Geography","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":[0.0001080925,0.0001627001,0.0001328356,0.0005596072,0.0002103092,0.0002913089,0.0001209912,0.00009709596,0.001210756],"category_scores_gemma":[0.0003663893,0.00007508786,0.0001400766,0.0002365737,0.0002935858,0.0001213627,0.0003564176,0.0001954832,0.00009818064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002429021,"about_ca_system_score_gemma":0.00009471138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004684378,"about_ca_topic_score_gemma":0.01734643,"domain_scores_codex":[0.9999262,0.00001390106,0.000004065434,0.00002437656,0.00001752298,0.00001391159],"domain_scores_gemma":[0.9996945,0.00004628316,0.0001215754,0.00002729563,0.00003898934,0.00007150233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001677555,0.00004443077,0.8787183,0.00005036112,0.0001472173,0.0001631778,0.0003335354,0.000357976,0.1054224,0.0001004167,0.0001635762,0.01433088],"study_design_scores_gemma":[3.52665e-7,0.00001349809,0.9995251,8.627353e-7,0.000004623691,0.00002362403,0.00005482761,0.00006405976,0.0002534966,0.00000861109,0.00005033333,7.858104e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994525,0.00007245089,0.00004966321,0.000008018094,8.835786e-7,0.000001028272,0.000054282,0.000005675912,0.0003555174],"genre_scores_gemma":[0.9996351,0.0000578717,0.00007815344,0.000008720097,0.000001598962,0.00000166035,0.00006386117,0.000001793289,0.0001512033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004684378,"threshold_uncertainty_score":0.009314239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03280950703044515,"score_gpt":0.2699780380364518,"score_spread":0.2371685310060067,"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."}}