{"id":"W2588481345","doi":"10.1073/pnas.1613625114","title":"Mapping evaporative water loss in desert passerines reveals an expanding threat of lethal dehydration","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":234,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration; National Science Foundation","keywords":"Dehydration; Environmental science; Evaporative cooler; Climate change; Ecology; Atmospheric sciences; Range (aeronautics); Biology; Physical geography; Geography; Meteorology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001311209,0.00006773272,0.0001260564,0.00006606463,0.0003216719,0.00001715037,0.0007452787,0.00007383442,0.00006786444],"category_scores_gemma":[0.0001822838,0.00004057771,0.00003092739,0.0001459969,0.001357455,0.001442684,0.0002265161,0.00009355697,0.000002561916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000440632,"about_ca_system_score_gemma":0.00000598546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002360587,"about_ca_topic_score_gemma":0.000003627744,"domain_scores_codex":[0.9989328,0.000008797195,0.0002563856,0.000189845,0.0004789768,0.0001331649],"domain_scores_gemma":[0.9995148,0.00002881674,0.0003820901,0.00001320663,0.00004034277,0.00002073371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005798524,0.00002509132,0.5973917,0.000006591737,0.000001136388,1.264565e-8,0.0005143579,0.00004476093,0.4015697,0.0003190888,0.000008602362,0.0001131599],"study_design_scores_gemma":[0.00007000961,0.00002466603,0.6395355,0.00002814072,0.000002046924,0.000002358503,0.0001962053,0.00008532473,0.3451749,0.01484365,0.000002140398,0.00003510767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964674,0.000003851809,0.000001139641,0.001078691,0.00001425505,0.0001336364,0.000002466237,0.000002874841,0.002295715],"genre_scores_gemma":[0.9991114,0.000003588108,0.0007108496,0.00003375375,0.00001887778,0.000009458189,1.346812e-7,0.000001987703,0.000109952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05639481,"threshold_uncertainty_score":0.50016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06331241491677835,"score_gpt":0.3395709003683447,"score_spread":0.2762584854515663,"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."}}