{"id":"W2793716537","doi":"10.1080/02626667.2018.1442577","title":"Advantages and challenges of using soil water isotopes to assess groundwater recharge dominated by snowmelt at a field study located in Canada","year":2018,"lang":"en","type":"article","venue":"Hydrological Sciences Journal","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Groundwater recharge; Vadose zone; Snowmelt; Groundwater; Water table; Hydrology (agriculture); Depression-focused recharge; Surface runoff; Aquifer; Geology; Infiltration (HVAC); Capillary fringe; Groundwater flow; Groundwater model; Soil science; Environmental science; Snow; Geomorphology; Geotechnical engineering; Geography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001058585,0.0001582664,0.0002735476,0.00007638408,0.0003437825,0.00008723136,0.0003755182,0.00006659437,0.00168667],"category_scores_gemma":[0.00004748822,0.00008613177,0.00002320869,0.0001755282,0.0001792579,0.0002394106,0.00008628207,0.0001854251,0.000008434156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003524958,"about_ca_system_score_gemma":0.00009152715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3411179,"about_ca_topic_score_gemma":0.6903121,"domain_scores_codex":[0.9981787,0.0001814016,0.0003499179,0.0003548174,0.0003923091,0.0005428349],"domain_scores_gemma":[0.9994571,0.0001072504,0.00007439688,0.00009372015,0.00005520994,0.0002123219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001283516,0.00006249984,0.9864691,0.00001154448,0.00001074062,0.0000764044,0.0005876561,0.0002807131,0.008723173,7.998233e-7,0.00008225987,0.003566716],"study_design_scores_gemma":[0.00188126,0.007431968,0.803684,0.0001238142,0.00004127513,0.0009595434,0.007230949,0.01439165,0.1606502,0.0006984097,0.001991003,0.0009158909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978448,0.0004041416,0.00002261567,0.0008340062,0.0001723231,0.0001396874,0.000006988232,0.000005912379,0.0005695591],"genre_scores_gemma":[0.9993815,0.0001563296,0.00009851216,0.0002622296,0.00005448564,9.715218e-7,0.000002678315,0.000001808518,0.00004141764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3491942,"threshold_uncertainty_score":0.9992259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0451403436714539,"score_gpt":0.2568388171909251,"score_spread":0.2116984735194712,"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."}}