{"id":"W2748739108","doi":"","title":"Characterizing contributions of glacier melt and groundwater in alpine glacierized watersheds of the Saint-Elias Mountain range (Canada)","year":2016,"lang":"en","type":"article","venue":"EGU General Assembly Conference Abstracts","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Glacier; Geology; Range (aeronautics); SAINT; Groundwater; Physical geography; Geomorphology; Hydrology (agriculture); Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003055098,0.0001534484,0.0002988472,0.00002689898,0.0001230664,0.00002703887,0.0002091421,0.00006129903,0.0002887428],"category_scores_gemma":[0.00009437401,0.00008375401,0.00004936591,0.0001722879,0.0001548535,0.0002072241,0.00003807848,0.00008633617,0.000003143354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002970177,"about_ca_system_score_gemma":0.0002043763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2060302,"about_ca_topic_score_gemma":0.3735437,"domain_scores_codex":[0.9986597,0.00006987032,0.0004552479,0.0002104963,0.0002770849,0.0003276239],"domain_scores_gemma":[0.9992234,0.0001489731,0.0002038814,0.000198062,0.0001484794,0.0000772764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008308861,0.00003756865,0.8656579,0.00002883466,0.00004935583,0.000006352756,0.0002970488,0.0001179671,0.118707,0.0007646973,0.0001117295,0.01413848],"study_design_scores_gemma":[0.0006483856,0.00004607127,0.9800536,0.00006324895,0.0000136181,0.000003092504,0.0001290319,0.0003102833,0.01492742,0.0001756067,0.003500452,0.0001291673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947016,0.0001734697,0.00005190598,0.004287103,0.0002376303,0.0002022586,0.000140641,0.000006929474,0.0001985186],"genre_scores_gemma":[0.9990624,0.0001878265,0.0001557417,0.0002389434,0.00005476217,0.00000378132,0.0000236764,0.000003295714,0.0002695998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1675135,"threshold_uncertainty_score":0.7992569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01705960181759601,"score_gpt":0.2122076070199913,"score_spread":0.1951480052023953,"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."}}