{"id":"W2008573774","doi":"10.1644/11-mamm-a-137.1","title":"Are lemming winter nest counts a good index of population density?","year":2012,"lang":"en","type":"article","venue":"Journal of Mammalogy","topic":"Animal Ecology and Behavior Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon University; Wildlife Conservation Society Canada; Université Laval; University of British Columbia","funders":"Office of Polar Programs; Natural Sciences and Engineering Research Council of Canada; ArcticNet; Parks Canada","keywords":"Nest (protein structural motif); Snow; Tundra; Population density; Ecology; Habitat; Arctic; Population; Predation; Biology; Geography; Demography; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001526531,0.00003610655,0.0001083827,0.00002062391,0.00002910905,0.000001286411,0.00004935867,0.00004372998,0.0009357631],"category_scores_gemma":[0.0000244338,0.00002858015,0.00003370566,0.00003008049,0.00005184166,0.0001088814,0.00004097507,0.00008086098,0.00008348255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003792786,"about_ca_system_score_gemma":0.000001722363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000185059,"about_ca_topic_score_gemma":0.00009745777,"domain_scores_codex":[0.999631,0.00002114193,0.0001457112,0.00003082467,0.00008062574,0.00009072743],"domain_scores_gemma":[0.9996599,0.00001722093,0.0002548294,0.0000310316,0.00001028587,0.00002676321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001702772,0.00004043654,0.9977705,0.000001749069,0.000006679139,0.000007233181,0.00007286946,0.00000690815,0.0005605051,0.0000349805,0.0007197823,0.0007612585],"study_design_scores_gemma":[0.00009048818,0.00004871167,0.9973634,0.000005687227,0.00001991374,0.0000903986,0.00007858938,0.000002279749,0.0000698963,0.0000555555,0.002147391,0.00002769258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977211,0.00004525981,0.00007113902,0.00008567445,0.0002365526,0.00001543569,4.349516e-7,0.000001404888,0.001822974],"genre_scores_gemma":[0.9995244,0.000004297731,0.0001138857,0.00006471999,0.00007175114,1.982778e-7,1.887176e-7,0.000002471604,0.0002180635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001803299,"threshold_uncertainty_score":0.9999775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757175492190536,"score_gpt":0.2576149011004086,"score_spread":0.2400431461785033,"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."}}