{"id":"W4239325909","doi":"10.5194/cpd-7-2937-2011","title":"Precipitation as the main driver of Neoglacial fluctuations of Gualas glacier, Northern Patagonian Icefield","year":2011,"lang":"en","type":"preprint","venue":"","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Polar Programs; Fonds Wetenschappelijk Onderzoek; Rice University; Florida State University; Queen's University Belfast; Queen's University; Woods Hole Oceanographic Institution; National Science Foundation","keywords":"Ice field; Glacier; Geology; Moraine; Ice core; Glacial period; Physical geography; Glacier mass balance; Rock glacier; Holocene; Chronology; Tidewater glacier cycle; Glacier morphology; Geomorphology; Silt; Climatology; Oceanography; Paleontology; Geography; Cryosphere; Ice stream; Sea ice","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002068299,0.0002165038,0.0001478743,0.0007188143,0.0003346459,0.0008619024,0.0002263726,0.000185067,0.0009767063],"category_scores_gemma":[0.0004144338,0.00009553345,0.0001929683,0.0007792083,0.000316357,0.0001758183,0.0002934545,0.0002088861,0.0001334845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006425646,"about_ca_system_score_gemma":0.0005444293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1092501,"about_ca_topic_score_gemma":0.1166099,"domain_scores_codex":[0.9999083,0.00001539663,0.000004971579,0.00003023191,0.000009072929,0.00003200754],"domain_scores_gemma":[0.9997041,0.00002924771,0.0001184425,0.00001787907,0.00005861037,0.00007172688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009692168,0.00001310711,0.993472,0.00002194475,0.0000537661,0.0001980973,0.0002731924,0.0004660162,0.001248322,0.00009052877,0.0005470172,0.003519017],"study_design_scores_gemma":[0.000001498535,0.000003318667,0.999459,0.000003256742,0.000004237085,0.00001182464,0.0001198766,0.0001421442,0.00002570163,0.000009066509,0.0002191874,9.238626e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982705,0.0002627951,0.00003399402,0.0001049757,0.00000614998,0.000002071476,0.0004860133,0.000008977119,0.0008244131],"genre_scores_gemma":[0.9994566,0.00007026932,0.00002318189,0.00001416525,0.000006972577,0.000001989031,0.0002987274,0.000002849748,0.0001252383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1092501,"threshold_uncertainty_score":0.2172285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623142572431065,"score_gpt":0.2591323018110402,"score_spread":0.2329008760867295,"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."}}