{"id":"W4415365891","doi":"10.1002/eco.70103","title":"Stable Isotope‐Inferred Hydrology of Ponds Created by the Mount St. Helens Eruption","year":2025,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; Portland State University","keywords":"Hydrology (agriculture); Spring (device); Water balance; Snow; Precipitation; Drainage basin; Groundwater; Ecosystem; Structural basin; Surface water","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002307937,0.0001197499,0.0001457256,0.000603263,0.0002183576,0.0004063131,0.0001306029,0.000180268,0.001046141],"category_scores_gemma":[0.0004316307,0.0001051671,0.0001959329,0.000480468,0.0002728582,0.0002884307,0.0002876935,0.000125601,0.0001378084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003682154,"about_ca_system_score_gemma":0.0001265454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006089695,"about_ca_topic_score_gemma":0.01384373,"domain_scores_codex":[0.9999415,0.000008573747,0.000003767227,0.00001927469,0.00001429991,0.00001254422],"domain_scores_gemma":[0.9997541,0.00004899404,0.00009760388,0.00001877962,0.00004307596,0.00003743982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007933316,0.00002317215,0.9755375,0.00002183396,0.00004600077,0.0001740573,0.0001966029,0.003292952,0.01442625,0.0001011983,0.000375997,0.005725101],"study_design_scores_gemma":[0.000003012784,0.00001038763,0.9960755,0.000001965916,0.000005956053,0.00002712856,0.0000611772,0.003131042,0.0004264366,0.00002944151,0.0002256474,0.000002423302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991388,0.00001763613,0.0001482442,0.000007938317,0.000001537489,0.000002306649,0.0003300211,0.0000190858,0.0003344849],"genre_scores_gemma":[0.9994711,0.00001418547,0.0001170267,0.000003181372,0.000002608587,0.000002359752,0.0002851366,0.000002913186,0.0001015067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006089695,"threshold_uncertainty_score":0.0121085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005847391928486243,"score_gpt":0.2047667202375766,"score_spread":0.1989193283090903,"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."}}