{"id":"W4402358261","doi":"10.22541/au.172589326.60929973/v1","title":"Tracing urban drinking water sources: global state of the art and insights from an IAEA-Coordinated Research Project","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; International Atomic Energy Agency; University of Texas System","keywords":"Tracing; Environmental planning; State (computer science); Environmental science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.006025195,0.0007888302,0.0005784539,0.004895188,0.0005977913,0.002818701,0.0008647529,0.0007224132,0.0008173629],"category_scores_gemma":[0.004652062,0.0003129546,0.0006024615,0.01380122,0.001579653,0.002638355,0.002627934,0.0006850574,0.0001975887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002672172,"about_ca_system_score_gemma":0.004478278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05897685,"about_ca_topic_score_gemma":0.05548248,"domain_scores_codex":[0.9980438,0.000735506,0.0001130721,0.0004480089,0.000477404,0.0001821931],"domain_scores_gemma":[0.9946997,0.001804332,0.0005215477,0.0009819496,0.001768038,0.000224548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002411189,0.0002051349,0.2196867,0.003059559,0.0005275449,0.0003901834,0.007102387,0.01869431,0.006525017,0.03071356,0.01984461,0.6930098],"study_design_scores_gemma":[0.00002985721,0.000348847,0.4675189,0.003942456,0.0006740731,0.0005417226,0.01877621,0.0303617,0.01025497,0.03478954,0.4325425,0.000219175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6255245,0.185141,0.07124301,0.0311713,0.0003644821,0.0004817347,0.02446711,0.0008690093,0.06073783],"genre_scores_gemma":[0.8326548,0.09072047,0.05825779,0.001424203,0.0002085377,0.0002938661,0.0138438,0.0003169502,0.002279619],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05897685,"threshold_uncertainty_score":0.1172671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024885098162981,"score_gpt":0.2959336556263385,"score_spread":0.2656848046447087,"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."}}