{"id":"W4292831418","doi":"10.1002/ece3.9230","title":"Active season body mass patterns of little brown and northern myotis bats","year":2022,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Bat Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Environment and Protected Areas; Environment and Climate Change Canada; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of New Brunswick; Parks Canada; American Society of Mammalogists; University of Waterloo; Canadian Wildlife Federation; Bat Conservation International","keywords":"Fecundity; Myotis lucifugus; Biology; Ecology; Foraging; Reproduction; Hibernation (computing); Temperate climate; Reproductive success; Torpor; Ursus; Seasonal breeder; Zoology; Demography; Population; 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":[0.0002132561,0.00009412624,0.0001230109,0.0005382562,0.0001990108,0.0001851624,0.0001452857,0.0001512645,0.001272094],"category_scores_gemma":[0.0004009676,0.0000772838,0.00008584939,0.0002687658,0.0001787975,0.0001643553,0.0002088114,0.0000738411,0.0002230371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927763,"about_ca_system_score_gemma":0.00006087814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006062781,"about_ca_topic_score_gemma":0.0255131,"domain_scores_codex":[0.9999418,0.00001254796,0.000005444736,0.00001855236,0.00001040976,0.00001123206],"domain_scores_gemma":[0.9996276,0.00005190887,0.0001879767,0.0000210919,0.00004425189,0.00006721544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006755866,0.00001313967,0.9949404,0.000006519251,0.00001345188,0.00002400774,0.000229224,0.00005652392,0.002986145,0.00001666436,0.00006571288,0.001580628],"study_design_scores_gemma":[2.611935e-7,0.000006464722,0.9998424,6.839073e-7,9.305859e-7,0.0000154147,0.00005182025,0.00003441858,0.00002457979,0.000001983282,0.00002071645,2.776504e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997246,0.00001621697,0.00001931773,0.000003624816,2.947622e-7,8.237864e-7,0.0001118778,9.490644e-7,0.0001223754],"genre_scores_gemma":[0.9994466,0.00001526891,0.00004720906,0.000004417344,0.00000139168,0.000003566054,0.0002690965,8.235149e-7,0.0002115792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006062781,"threshold_uncertainty_score":0.01205498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00903667538396215,"score_gpt":0.1919340608453848,"score_spread":0.1828973854614226,"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."}}