{"id":"W1977899163","doi":"10.1038/nature12921","title":"Fifty thousand years of Arctic vegetation and megafaunal diet","year":2014,"lang":"en","type":"article","venue":"Nature","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":586,"is_retracted":false,"has_abstract":false,"ca_institutions":"Yukon Department of Environment; Yukon Department of Tourism and Culture; University of Alberta","funders":"Lundbeckfonden; Danmarks Grundforskningsfond; Norges Forskningsråd; European Regional Development Fund; National Research Foundation; European Commission","keywords":"Graminoid; Tundra; Forb; Megafauna; Arctic; Ecology; Vegetation (pathology); Geography; Biology; Pleistocene; Grassland; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002549978,0.00003855862,0.00008558293,0.00003972576,0.00004201211,0.000005568256,0.0000661604,0.0003864261,0.0001595246],"category_scores_gemma":[0.0001385432,0.00003197468,0.00001487883,0.00006753734,0.0001156559,0.00004439218,0.00000521179,0.0005896894,0.00003531298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":1.465999e-7,"about_ca_system_score_gemma":0.000009319981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003392306,"about_ca_topic_score_gemma":0.0008193449,"domain_scores_codex":[0.9995469,0.00008414021,0.00006019111,0.0001006806,0.00009425956,0.0001138103],"domain_scores_gemma":[0.9995834,0.0002590289,0.00002545273,0.00006932887,0.00002538381,0.0000374658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004162734,0.000002819902,0.9965867,0.00003763253,0.000005890823,0.000002505942,0.00007609805,0.00003552362,0.000005507945,0.0002475127,0.00005019414,0.002907968],"study_design_scores_gemma":[0.0001480767,0.000112477,0.994937,0.000009858667,0.000005658525,0.00001559201,0.000009073164,0.001003484,0.00002859596,0.002706564,0.000989171,0.00003445931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932053,0.002442139,0.000006332914,0.0002603466,0.000110441,0.00003819261,0.000002687811,0.000006761412,0.003927803],"genre_scores_gemma":[0.9994019,0.00005277988,0.000263224,0.0001819049,0.00002964012,1.978956e-7,0.00001872422,7.675311e-7,0.00005092057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006196545,"threshold_uncertainty_score":0.2980472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006707305025564426,"score_gpt":0.2384926725120782,"score_spread":0.2317853674865138,"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."}}