{"id":"W2998688954","doi":"10.1111/geb.13049","title":"Local climate determines vulnerability to camouflage mismatch in snowshoe hares","year":2019,"lang":"en","type":"article","venue":"Global Ecology and Biogeography","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Parks Canada","funders":"U.S. Geological Survey; Division of Environmental Biology; North Carolina State University; University of Montana; U.S. Department of the Interior; Parks Canada; Office of Experimental Program to Stimulate Competitive Research; Southeast Climate Adaptation Science Center, North Carolina State University; National Science Foundation","keywords":"Phenology; Ecology; Snowshoe hare; Geography; Snow; Population; Biology; Habitat","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":[0.0003395479,0.0001295493,0.0001732232,0.0003183906,0.000282466,0.0004041061,0.0001246447,0.000211789,0.001475559],"category_scores_gemma":[0.001095814,0.0001241108,0.0001767458,0.0002604925,0.0002194582,0.0002734561,0.0003215969,0.0002004633,0.000145885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001336184,"about_ca_system_score_gemma":0.0001028939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00448207,"about_ca_topic_score_gemma":0.009905164,"domain_scores_codex":[0.9998441,0.00004998163,0.000009380074,0.00004522938,0.00001635188,0.00003498887],"domain_scores_gemma":[0.9992251,0.0001804135,0.0003066327,0.0000570054,0.0000733511,0.0001574883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003542408,0.00001134219,0.9979534,0.000003120369,0.00002728114,0.00003055579,0.0001054268,0.0001331767,0.0009480419,0.000009518319,0.00004587252,0.0006968415],"study_design_scores_gemma":[4.272862e-7,0.00001030364,0.999563,0.000001008024,0.000003164998,0.00001912785,0.0001316566,0.0002026909,0.00002918798,0.0000118139,0.0000265527,9.608036e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998021,0.00002428369,0.00004524659,0.000006611101,0.000001272196,8.437445e-7,0.00004165966,0.000001328446,0.00007672343],"genre_scores_gemma":[0.9998848,0.000008559291,0.0000229234,0.000004210061,0.000001687713,0.000001001325,0.00004472161,8.147871e-7,0.00003121566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00448207,"threshold_uncertainty_score":0.008911967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006895136104632378,"score_gpt":0.2347264918165929,"score_spread":0.2278313557119605,"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."}}