{"id":"W3203890348","doi":"10.1007/s00442-021-05055-x","title":"Extreme climate events limit northern range expansion of wild turkeys","year":2021,"lang":"en","type":"article","venue":"Oecologia","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Ministère des Ressources naturelles et des Forêts; Université Laval; Center for Northern Studies","funders":"Université Laval","keywords":"Population; Biology; Range (aeronautics); Ecology; Climate change; Temperate climate; Population size; Snow; Population model; Vital rates; Population growth; Abundance (ecology); Geography; Demography","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":[0.0002703013,0.0001919764,0.0002545563,0.0005626914,0.0003711175,0.0006851664,0.0002695586,0.0001751235,0.001766104],"category_scores_gemma":[0.0007563333,0.0001210768,0.0001684772,0.0004855215,0.00046502,0.0004271391,0.0004796885,0.0001978455,0.0002933787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005120509,"about_ca_system_score_gemma":0.0002674971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01323971,"about_ca_topic_score_gemma":0.04391456,"domain_scores_codex":[0.9998191,0.000033931,0.00001251852,0.0000570727,0.00002318262,0.00005415663],"domain_scores_gemma":[0.9994134,0.00009502314,0.0002416167,0.00004564655,0.0001004276,0.0001038816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000400123,0.00007102344,0.9713599,0.00005039655,0.00008958422,0.0002181944,0.0006610038,0.000945099,0.009989849,0.0002720593,0.0005899399,0.01535276],"study_design_scores_gemma":[0.000002937619,0.0000390878,0.9980964,0.000009215799,0.00001106983,0.00007970032,0.0006914141,0.0001896866,0.000127855,0.00006832751,0.000681742,0.000002561516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979737,0.0001736781,0.00005281276,0.00002472331,0.000004436079,0.000001580089,0.00007539532,0.000003968753,0.001689661],"genre_scores_gemma":[0.9994918,0.00009757593,0.00006260507,0.00002507002,0.000003005318,0.000002022163,0.000162066,0.000002516422,0.000153328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01323971,"threshold_uncertainty_score":0.02632529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578779904472131,"score_gpt":0.2427455947850858,"score_spread":0.2069577957403645,"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."}}