{"id":"W2563476413","doi":"10.1139/as-2016-0023","title":"Effects of changing permafrost and snow conditions on tundra wildlife: critical places and times","year":2016,"lang":"en","type":"article","venue":"Arctic Science","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Université Laval; Center for Northern Studies; Université du Québec à Trois-Rivières; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Tundra; Permafrost; Wildlife; Snow; Ecology; Climate change; Snowmelt; Arctic; Habitat; Environmental science; Context (archaeology); Arctic ecology; Global warming; Meltwater; Geography; Physical geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002703516,0.0000853657,0.0001086158,0.0001509555,0.0003296082,0.00006062577,0.0001152353,0.00002431011,0.0007941364],"category_scores_gemma":[0.0006051165,0.00005410859,0.00001382527,0.0002473729,0.001489281,0.0003853526,0.00002910254,0.000040335,0.00004736066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003540256,"about_ca_system_score_gemma":0.0000289396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000201965,"about_ca_topic_score_gemma":0.0001932981,"domain_scores_codex":[0.9990984,0.00002573256,0.00009188887,0.00025019,0.0002311686,0.0003026443],"domain_scores_gemma":[0.9977788,0.001902907,0.00002758274,0.00009735901,0.00003948022,0.0001538435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003886347,0.00003454066,0.9494386,0.0001932371,0.000007086274,0.00002574992,0.002592948,0.000003391582,0.03383823,0.005379639,0.0003281448,0.0081196],"study_design_scores_gemma":[0.0003086261,0.0002732638,0.990877,0.0003811611,0.00001609152,0.00006012194,0.0004752557,0.0005347794,0.004610073,0.002105892,0.0002063467,0.000151389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956452,0.0002737824,0.00001045327,0.002354959,0.0001971504,0.00009072158,0.0004520362,0.00001282858,0.0009628884],"genre_scores_gemma":[0.999025,0.0002217335,0.00004199379,0.0005564954,0.00004800561,0.000001353177,0.00001409946,0.000001736949,0.00008961019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04143843,"threshold_uncertainty_score":0.8695237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148838117700156,"score_gpt":0.2559818151925294,"score_spread":0.2410980034225138,"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."}}