{"id":"W3197798294","doi":"10.1016/j.quascirev.2021.107171","title":"Centennial scale climate oscillations from southern Siberia in the Last Glacial Maximum","year":2021,"lang":"en","type":"article","venue":"Quaternary Science Reviews","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Holocene; Last Glacial Maximum; Climate change; Climatology; Ice core; Geology; Paleoclimatology; Physical geography; Glacial period; Abrupt climate change; Loess; Global warming; Oceanography; Geography; Effects of global warming; Paleontology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008648105,0.0002509661,0.0003047806,0.001345575,0.0005686594,0.001034951,0.0002629544,0.0003917241,0.001614507],"category_scores_gemma":[0.001082722,0.0001388037,0.0002493105,0.003241838,0.0004320662,0.0006355449,0.000927982,0.0004758411,0.0001995348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111302,"about_ca_system_score_gemma":0.001110508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04772721,"about_ca_topic_score_gemma":0.05923781,"domain_scores_codex":[0.9999081,0.00001423788,0.00001917055,0.00001883531,0.00001631309,0.00002335307],"domain_scores_gemma":[0.999679,0.00005824305,0.000112584,0.00001940187,0.00006939208,0.00006139636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001288853,0.00006729324,0.5588375,0.002454648,0.0009298639,0.000998314,0.01058994,0.006061826,0.006461063,0.002659577,0.01012239,0.3995287],"study_design_scores_gemma":[0.00000595441,0.00001673342,0.992933,0.0001304318,0.00005046086,0.00005440558,0.0004042469,0.0001752901,0.0000707127,0.0002444191,0.005907749,0.000006502079],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957994,0.09352627,0.0001904272,0.002355625,0.0004834629,0.000005818998,0.001120884,0.00002796558,0.006490139],"genre_scores_gemma":[0.9664459,0.03099639,0.00008786875,0.0003062312,0.0002619501,0.00000672792,0.0008994602,0.00001105133,0.0009844837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04772721,"threshold_uncertainty_score":0.09489882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538742613073346,"score_gpt":0.2851985672502352,"score_spread":0.2498111411195018,"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."}}