{"id":"W3043633675","doi":"10.1038/s41561-020-0611-4","title":"Late Cenozoic climate change paces landscape adjustments to Yukon River capture","year":2020,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Geological Survey; National Science Foundation","keywords":"Geology; Cenozoic; Fluvial; Bedrock; Drainage basin; Glacial period; Erosion; Paleontology; Structural basin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002008538,0.0001153066,0.0001649327,0.0005332372,0.0006236762,0.001138576,0.0003679481,0.0003783123,0.004819259],"category_scores_gemma":[0.001197369,0.0002565193,0.0002805082,0.0008990163,0.0003528933,0.000607468,0.0008867841,0.0003186678,0.0002695652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001992642,"about_ca_system_score_gemma":0.001740839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2288801,"about_ca_topic_score_gemma":0.5064148,"domain_scores_codex":[0.9998889,0.00000962072,0.000009720999,0.00003650564,0.000009319076,0.0000459175],"domain_scores_gemma":[0.9996367,0.00004365789,0.0001135514,0.00003538026,0.0001026416,0.00006816304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002104051,0.0000301487,0.9833083,0.00003556805,0.00009873695,0.0001225945,0.00137425,0.001819522,0.003266663,0.001497073,0.0008195254,0.007417227],"study_design_scores_gemma":[0.000003678719,0.000007710503,0.9976065,0.000004332483,0.00001215792,0.00001882226,0.0008014708,0.0006155345,0.0001118008,0.00007184735,0.0007423078,0.000003824256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985291,0.00004377369,0.00006281436,0.00009067135,0.000003713953,0.000001802196,0.0002190668,0.000004943593,0.001044191],"genre_scores_gemma":[0.9992552,0.00003465411,0.00002822665,0.00001391759,0.000001046776,0.00000142416,0.0001562814,0.000003423331,0.0005058425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7711199,"threshold_uncertainty_score":0.4550958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271342586706885,"score_gpt":0.2540574285017427,"score_spread":0.2313440026346739,"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."}}