{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001924118,0.0001633901,0.0002722475,0.001009469,0.00119862,0.001143127,0.0006423906,0.0003699638,0.0005063649],"category_scores_gemma":[0.0007966085,0.000176963,0.0002861101,0.001837353,0.0005152483,0.0002951,0.000587503,0.0002664253,0.00005319274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01010611,"about_ca_system_score_gemma":0.01008405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.979542,"about_ca_topic_score_gemma":0.9900324,"domain_scores_codex":[0.9998344,0.00001212046,0.000007866128,0.00003424798,0.00004216585,0.0000691265],"domain_scores_gemma":[0.9996585,0.00005784894,0.00004028252,0.000009694385,0.0001703315,0.00006343309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001086628,0.00004001132,0.988765,0.00001980988,0.00006803702,0.0001012719,0.0008867661,0.001408384,0.00245966,0.0001898877,0.0002607489,0.005691808],"study_design_scores_gemma":[0.000006515959,0.000007390213,0.9957266,0.000007310979,0.00002287217,0.00002785812,0.001370805,0.002070383,0.0003423275,0.00004903103,0.0003635908,0.000005257014],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989966,0.0000528303,0.00005992935,0.00003343188,9.58336e-7,0.000007571818,0.0004176259,0.000006366606,0.0004248069],"genre_scores_gemma":[0.9987142,0.00008544377,0.0001753677,0.00001907399,0.00000173186,0.000005772871,0.00060487,0.000003786527,0.000389668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02045798,"threshold_uncertainty_score":0.07332534,"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."}}