{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001987281,0.0001503307,0.0001412097,0.00003686555,0.0002954452,0.00002088566,0.0001709239,0.0002407677,0.004250907],"category_scores_gemma":[0.000003112109,0.00009584381,0.00002849417,0.00007571092,0.0002438215,0.0001452095,0.0002292912,0.0005651893,0.001182101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048463,"about_ca_system_score_gemma":0.000002583676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001616608,"about_ca_topic_score_gemma":0.0004396653,"domain_scores_codex":[0.9990468,0.0001006593,0.0001032531,0.0002679656,0.00009069454,0.0003906081],"domain_scores_gemma":[0.9996586,0.00003119551,0.00002314101,0.0002117745,0.000001487567,0.00007379917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008320688,0.00004275194,0.0196212,0.00002036446,0.00003691442,0.00006901677,0.002000822,0.00009172585,0.9684417,0.00007369628,0.007997058,0.001521564],"study_design_scores_gemma":[0.001156153,0.0003644756,0.332305,0.00002951721,0.00006602073,0.0001446566,0.0006445596,0.0002030076,0.05109012,0.00105465,0.6121436,0.0007982911],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970112,0.00002656376,0.000004427937,0.001096689,0.0001199739,0.0001239822,0.00001111224,0.00005201498,0.001554025],"genre_scores_gemma":[0.9963189,0.00002544118,0.00008757901,0.001181323,0.00007710054,0.000006914282,0.0002104181,0.00001728279,0.002075024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9173515,"threshold_uncertainty_score":0.9995956,"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."}}