{"id":"W4317433589","doi":"10.1038/s44221-022-00001-4","title":"Revisiting Mt Fuji’s groundwater origins with helium, vanadium and environmental DNA tracers","year":2023,"lang":"en","type":"article","venue":"Nature Water","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Geological Survey of Canada","funders":"Ministry of Land, Infrastructure, Transport and Tourism; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Groundwater; Aquifer; Geology; Earth science; Trench; Groundwater flow; Hydrology (agriculture); Geochemistry; Geomorphology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003683617,0.0003671596,0.0003094527,0.0009351906,0.0008851392,0.0007150876,0.0003907364,0.0004793834,0.00069264],"category_scores_gemma":[0.0005274698,0.0001989056,0.000132034,0.001130461,0.0009735809,0.001036302,0.001009533,0.0004933514,0.00009875321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009508246,"about_ca_system_score_gemma":0.0007307986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02994949,"about_ca_topic_score_gemma":0.09344517,"domain_scores_codex":[0.9998503,0.00001961591,0.000007010281,0.00005398284,0.00003473041,0.00003433528],"domain_scores_gemma":[0.9998661,0.00003471245,0.00003258602,0.000009862018,0.00003323328,0.00002347127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002710967,0.00003616957,0.443675,0.0002574091,0.00005894677,0.001742797,0.006720323,0.0008440527,0.4672993,0.003788175,0.0003223051,0.07498439],"study_design_scores_gemma":[0.00001838837,0.0003821125,0.8518444,0.0002203947,0.0001425416,0.001514924,0.02088408,0.007666654,0.07558507,0.006621518,0.03504993,0.00007001121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948397,0.001336991,0.001882254,0.000306838,0.00001181666,0.000007988863,0.0000911718,0.00001744071,0.00150577],"genre_scores_gemma":[0.9968548,0.000577441,0.001906862,0.00007765117,0.000006948419,0.000003098925,0.00006526101,0.000007473087,0.0005003843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02994949,"threshold_uncertainty_score":0.05955034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004379257010675624,"score_gpt":0.1974139838797631,"score_spread":0.1930347268690874,"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."}}