{"id":"W2158086023","doi":"10.1038/nature05747","title":"Drought sensitivity shapes species distribution patterns in tropical forests","year":2007,"lang":"en","type":"article","venue":"Nature","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":1075,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tropics; Ecology; Fragmentation (computing); Environmental science; Niche; Tropical and subtropical dry broadleaf forests; Tropical climate; Species distribution; Ecological niche; Tropical forest; Geography; Biology; 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":[0.0002888619,0.00007827544,0.0001572307,0.0005548706,0.0002824894,0.0004875296,0.0001543404,0.000177998,0.00159115],"category_scores_gemma":[0.001394978,0.0001771538,0.0001398499,0.0005063561,0.0003656866,0.0004008995,0.0003005751,0.0002187153,0.0001293951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002508048,"about_ca_system_score_gemma":0.0001151821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004349083,"about_ca_topic_score_gemma":0.01127956,"domain_scores_codex":[0.9998931,0.00003248825,0.000007223305,0.00002899135,0.00001097285,0.00002714927],"domain_scores_gemma":[0.9990907,0.000366983,0.0002756489,0.00006259367,0.00005373522,0.0001504933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002291074,0.00003610315,0.9756129,0.00002348508,0.000104843,0.00008063029,0.0006092898,0.000880726,0.01811135,0.0001367357,0.0001440216,0.004030777],"study_design_scores_gemma":[0.000001524054,0.000008009565,0.9990342,0.000001059935,0.000006736393,0.00003397531,0.0001725292,0.0004489391,0.0001477219,0.00008958742,0.00005367559,0.000001971118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997402,0.00002112289,0.0000554852,0.000008720839,6.486629e-7,4.467657e-7,0.00002678477,0.000001480245,0.0001451109],"genre_scores_gemma":[0.9998795,0.00001491264,0.0000211473,0.000006516072,0.000001116115,5.565362e-7,0.00002678063,0.000001492326,0.00004802563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004349083,"threshold_uncertainty_score":0.008647561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00530700609760517,"score_gpt":0.2384093729255348,"score_spread":0.2331023668279296,"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."}}