{"id":"W3089191232","doi":"10.1130/2020.2548(07)","title":"Glacier development in continental climate regions of central Asia","year":2020,"lang":"en","type":"book-chapter","venue":"Geological Society of America eBooks","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Glacier; Moraine; Glacial period; Geology; Physical geography; Glacier mass balance; Climate change; Central asia; Last Glacial Maximum; Climatology; Arid; Mountain range (options); Geography; Geomorphology; Paleontology; Oceanography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002744785,0.000215386,0.0001339705,0.001275572,0.0002820548,0.0007543007,0.000205496,0.0001011545,0.0006655694],"category_scores_gemma":[0.0004099807,0.0001171163,0.000152684,0.001473573,0.0002453526,0.0002703438,0.0003289707,0.0001055407,0.0000658264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004994996,"about_ca_system_score_gemma":0.0004297024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02125395,"about_ca_topic_score_gemma":0.03851257,"domain_scores_codex":[0.9999156,0.00001194213,0.000009864631,0.00002534038,0.00001286137,0.00002431978],"domain_scores_gemma":[0.9995902,0.00004993888,0.0001745802,0.00001973971,0.00009477603,0.0000708341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005103811,0.00001207121,0.9930441,0.00002454559,0.00003992016,0.000161894,0.0008028554,0.0001928454,0.001963478,0.00006754768,0.00007311012,0.003566489],"study_design_scores_gemma":[0.000001301214,0.000009036653,0.9991592,0.000004765398,0.000006721865,0.00005546433,0.0004659487,0.00008442135,0.00006840373,0.00001422556,0.0001291842,0.000001270272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993595,0.0001387791,0.00001387205,0.000006187397,0.000001257894,0.00000112721,0.00007794465,0.000002552832,0.0003985756],"genre_scores_gemma":[0.9997411,0.00005913984,0.00002531606,0.00000417274,0.000001135991,0.000001488498,0.0001052346,6.706229e-7,0.00006169489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02125395,"threshold_uncertainty_score":0.04226047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02887683886640377,"score_gpt":0.2280946229273777,"score_spread":0.1992177840609739,"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."}}