{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002004491,0.0001353153,0.0001798066,0.00003826115,0.00008284414,0.00002108389,0.000147103,0.0001324361,0.01355124],"category_scores_gemma":[0.0000141472,0.0001189589,0.00006269191,0.0004753593,0.0002765479,0.00008008234,0.0002479892,0.00006862732,0.001238537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381121,"about_ca_system_score_gemma":0.000003438571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000673718,"about_ca_topic_score_gemma":0.01450311,"domain_scores_codex":[0.9988694,0.00005533247,0.0001765334,0.0003801814,0.00009784699,0.0004207202],"domain_scores_gemma":[0.9996325,0.00002750727,0.00003274699,0.0001683081,0.000007258763,0.0001316692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000495987,0.00008164562,0.9964264,0.00001008513,0.000003580561,0.000008042304,0.00002828011,0.000007450406,0.0002984859,0.0002696028,0.001133727,0.001683098],"study_design_scores_gemma":[0.000351029,0.0001362223,0.9888254,0.000003788773,0.00000497562,0.0000107241,0.0004090905,0.0000242396,0.0001495241,0.0002292605,0.009710182,0.0001455306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852377,0.00004599695,0.000005502366,0.0006287739,0.0002000815,0.0002601981,0.0002670818,0.00003311753,0.01332153],"genre_scores_gemma":[0.9985589,0.00005109136,0.00003428822,0.001268251,0.000006004741,0.00002361397,0.00003790006,0.000002770265,0.00001717848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01382939,"threshold_uncertainty_score":0.9995391,"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."}}