{"id":"W2021193155","doi":"10.1016/j.jhydrol.2006.06.026","title":"Diurnal hydrological – physicochemical controls and sampling methods for minor and trace elements in an Alpine glacial hydrological system","year":2006,"lang":"en","type":"article","venue":"Journal of Hydrology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Aberystwyth University","keywords":"Meltwater; Sediment; Glacial period; Environmental chemistry; Outflow; Sorption; Environmental science; Geology; Hydrology (agriculture); Chemistry; Mineralogy; Geomorphology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002354825,0.0001906555,0.0007369196,0.0001983559,0.000151324,0.00003018999,0.0002256515,0.0003765046,0.00009938529],"category_scores_gemma":[0.0002068483,0.0001383149,0.0000898236,0.00009739562,0.0004570875,0.000177078,0.00002489227,0.0005786245,0.000002753674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003983834,"about_ca_system_score_gemma":0.00003717478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003275582,"about_ca_topic_score_gemma":0.0003322795,"domain_scores_codex":[0.9974383,0.000781803,0.0007435654,0.0003197553,0.0001362411,0.0005803063],"domain_scores_gemma":[0.9976537,0.001676758,0.0003145515,0.00009359504,0.00007211205,0.0001892789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001760762,0.00009174611,0.9898558,0.00002790675,0.00003728625,0.0001175517,0.00003875517,0.002407457,0.001978028,0.000261201,0.000008283796,0.003415178],"study_design_scores_gemma":[0.005113874,0.003953575,0.7536426,0.00001938026,0.0001006421,0.0038683,0.00006833888,0.2216904,0.000171815,0.01039792,0.0007150604,0.0002580575],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937197,0.002309014,0.002624827,0.0007603754,0.0001589362,0.0002245467,0.00001079664,0.0000105298,0.0001812532],"genre_scores_gemma":[0.9838287,0.00003561698,0.01561616,0.0001692807,0.0003211672,0.000003869641,0.00001485079,0.000003703527,0.000006704171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2362132,"threshold_uncertainty_score":0.5640317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498994262870278,"score_gpt":0.3372417641545821,"score_spread":0.3022518215258794,"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."}}