{"id":"W2989231430","doi":"10.1371/journal.pone.0222311","title":"Incorporating evaporative water loss into bioenergetic models of hibernation to test for relative influence of host and pathogen traits on white-nose syndrome","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"National Institute of General Medical Sciences; Central Laser Facility, Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Strategic Environmental Research and Development Program; Division of Environmental Biology; U.S. Fish and Wildlife Service; Defense Advanced Research Projects Agency; Texas Tech University; U.S. Department of Defense; National Institutes of Health; National Science Foundation","keywords":"Torpor; Hibernation (computing); Biology; Myotis lucifugus; Ecology; Microclimate; Zoology; Physiology; Thermoregulation","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":[0.0004724298,0.0005011869,0.0002875411,0.0002665137,0.0001640723,0.000280904,0.0004664584,0.0002301867,0.0009463166],"category_scores_gemma":[0.0005788454,0.0001500014,0.0006097822,0.0001268056,0.000259741,0.0003943198,0.0004347795,0.0002873613,0.0001020896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004712777,"about_ca_system_score_gemma":0.0002753555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004294667,"about_ca_topic_score_gemma":0.004529502,"domain_scores_codex":[0.9999057,0.00002916336,0.000006632393,0.00002775277,0.0000117176,0.00001902985],"domain_scores_gemma":[0.9998389,0.00006733071,0.00004150677,0.00001624587,0.00001509663,0.00002078475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004090378,0.0003442041,0.04737,0.0001537168,0.0003822197,0.0001935151,0.0001114016,0.8657176,0.06924761,0.005572556,0.0002342306,0.01026389],"study_design_scores_gemma":[0.00001605283,0.0002273194,0.02363102,0.000006944671,0.00006053494,0.00003410927,0.00002662175,0.9723097,0.002192115,0.001208006,0.0002751476,0.00001232319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940822,0.0004055648,0.05651432,0.00009766909,0.00001994715,0.00004217723,0.0002294859,0.0000700724,0.001798789],"genre_scores_gemma":[0.9957815,0.0001168415,0.003107205,0.00002355255,0.000007226994,0.00005112359,0.0001155272,0.00001373448,0.0007832588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004294667,"threshold_uncertainty_score":0.008539319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817482849609984,"score_gpt":0.2080682447612206,"score_spread":0.1798934162651208,"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."}}