{"id":"W2274117558","doi":"10.1016/j.quascirev.2016.02.006","title":"Multiple water isotope proxy reconstruction of extremely low last glacial temperatures in Eastern Beringia (Western Arctic)","year":2016,"lang":"en","type":"article","venue":"Quaternary Science Reviews","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital; University of Northern British Columbia; University of Alberta; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Geology; Beringia; Snowmelt; Glacial period; Snow; Permafrost; Arctic; Loess; Physical geography; Oceanography; Paleontology; Geomorphology; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001069763,0.0002058979,0.0003789318,0.0002139796,0.0001158815,0.00008497058,0.0004769285,0.00005297278,0.001609611],"category_scores_gemma":[0.0000858062,0.000105565,0.00008676271,0.0003270756,0.0004096508,0.001068111,0.00004554972,0.0001001988,0.0007705321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001886861,"about_ca_system_score_gemma":0.00004596047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946073,"about_ca_topic_score_gemma":0.009679024,"domain_scores_codex":[0.9979621,0.0001185546,0.0005863164,0.0004744758,0.0003400084,0.0005185814],"domain_scores_gemma":[0.9992573,0.00005797861,0.0001620749,0.0003162435,0.00006275739,0.0001436794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003401324,0.0000157612,0.8856347,0.0001020531,0.000001495996,0.00001037542,0.0004475618,0.00000332985,0.04024567,7.479814e-7,0.000007348884,0.0734969],"study_design_scores_gemma":[0.0006668788,0.0002397893,0.970186,0.001865649,0.000009262018,0.0001598392,0.00009638639,0.001426317,0.0152942,0.00007447523,0.009556529,0.0004246632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972279,0.0009739526,0.00002200293,0.0002295255,0.0007048483,0.0004773594,0.0001102258,0.00001543272,0.000238722],"genre_scores_gemma":[0.9969388,0.00227731,0.0001438278,0.00009136278,0.0001659604,0.000007552174,0.00003663292,0.000004976482,0.0003335645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08455127,"threshold_uncertainty_score":0.999303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0501811332882051,"score_gpt":0.2668266251539853,"score_spread":0.2166454918657802,"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."}}