{"id":"W4408424736","doi":"10.5194/egusphere-egu25-5807","title":"Tracing urban Drinking water sources using isotope techniques: insights and applications","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tracing; Isotope; Environmental science; Stable isotope ratio; Computer science; Environmental planning; Earth science; Geology; Physics; Nuclear physics; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007587239,0.0004185586,0.0003042696,0.002061857,0.0004159075,0.001054939,0.0007208614,0.0008384231,0.000671787],"category_scores_gemma":[0.001116941,0.0003600882,0.0002657778,0.004214377,0.0005910452,0.001015968,0.001071955,0.0005475268,0.0001715831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009004693,"about_ca_system_score_gemma":0.0007316822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01275414,"about_ca_topic_score_gemma":0.02934582,"domain_scores_codex":[0.9997243,0.00008170848,0.00001252069,0.00005705934,0.00009918458,0.00002518305],"domain_scores_gemma":[0.9996339,0.0001495737,0.00005120433,0.00003614817,0.0001122708,0.00001690112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002139264,0.0002659629,0.3055924,0.0008697071,0.0001511621,0.0009071126,0.003209346,0.04827181,0.09477597,0.02150739,0.003139612,0.5210956],"study_design_scores_gemma":[0.0000463405,0.0004748454,0.2465615,0.0006107675,0.0003120005,0.001873131,0.0111853,0.4232934,0.1411286,0.07613151,0.09809233,0.0002903109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7285804,0.0128471,0.2148864,0.003414223,0.0001142564,0.0001965318,0.00210581,0.0006727405,0.03718263],"genre_scores_gemma":[0.9023969,0.008884695,0.08614042,0.0001916542,0.00003937733,0.00006429965,0.0003961945,0.00005645934,0.001829967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01275414,"threshold_uncertainty_score":0.02535981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112017658330475,"score_gpt":0.2477636915861056,"score_spread":0.2366435150028009,"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."}}