{"id":"W3134522061","doi":"","title":"Evolution of Late Season Meltwater in Alpine and Arctic Glaciers: Sampling Strategies and Geochemical Observations","year":2019,"lang":"en","type":"dissertation","venue":"Deep Blue (University of Michigan)","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meltwater; Glacier; Arctic; Physical geography; Geology; Sampling (signal processing); Oceanography; Climatology; Geography; Computer science","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":[0.000478638,0.0002720576,0.0002541978,0.001332703,0.0009626683,0.0006692228,0.0003690075,0.000254517,0.0002779756],"category_scores_gemma":[0.0006338814,0.0001804885,0.0002325362,0.001546382,0.0004118342,0.0002031765,0.0003274825,0.0002269215,0.0001122751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136943,"about_ca_system_score_gemma":0.001020819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2515522,"about_ca_topic_score_gemma":0.4876256,"domain_scores_codex":[0.9997779,0.00002448523,0.000009547385,0.00007538863,0.00006485526,0.00004787041],"domain_scores_gemma":[0.9996288,0.00004182795,0.0001005709,0.00001725731,0.0001452948,0.00006631079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001425323,0.00005239001,0.957258,0.0000212438,0.000027505,0.00007059373,0.001771138,0.000241444,0.03101073,0.00004045978,0.0000986876,0.0092652],"study_design_scores_gemma":[0.000001277011,0.00003217241,0.9977092,0.000002489824,0.000005776238,0.00002525083,0.0004666921,0.0002167709,0.001343451,0.000006320387,0.0001881583,0.000002408994],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985653,0.00008280606,0.0003023572,0.000008633963,0.00000122501,0.00002453969,0.0004322239,0.000008430653,0.0005745866],"genre_scores_gemma":[0.9955994,0.0002128629,0.002015306,0.00002391449,0.000004253015,0.00006816425,0.001507144,0.000007368818,0.0005616007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2515522,"threshold_uncertainty_score":0.500176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620303672538605,"score_gpt":0.194877902488857,"score_spread":0.1786748657634709,"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."}}