{"id":"W4407523552","doi":"10.2166/aqua.2025.001","title":"Cutting-edge innovations in drinking water management","year":2025,"lang":"en","type":"article","venue":"AQUA - Water Infrastructure Ecosystems and Society","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Business; Environmental science; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002072218,0.0001988236,0.0001957187,0.0001582822,0.0001398132,0.0001652712,0.0001339566,0.0001181699,0.00004781768],"category_scores_gemma":[7.905158e-7,0.0001367481,0.00005796341,0.0002176068,0.00002021405,0.000183999,0.0001486422,0.0001717093,0.00001114203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008555963,"about_ca_system_score_gemma":0.000001713479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001851787,"about_ca_topic_score_gemma":0.00002764239,"domain_scores_codex":[0.9989387,0.00001759695,0.0003532567,0.0002285152,0.0001048322,0.0003570945],"domain_scores_gemma":[0.9997441,0.000006124178,0.00001721658,0.0001829917,0.00002287559,0.00002673965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002652592,0.00009001185,0.1807506,0.007982221,0.002118181,0.00005039238,0.06412177,0.6158946,0.01244663,0.02534798,0.06873851,0.02243257],"study_design_scores_gemma":[0.003294004,0.00003315628,0.03102935,0.0006539152,0.0001533652,0.000007985499,0.004132353,0.5122725,0.01935443,0.00934024,0.4184247,0.001303999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.963879,0.00008426666,0.01441631,0.0001819319,0.0007102378,0.0004741474,0.00000308852,0.0002483711,0.02000259],"genre_scores_gemma":[0.9970781,0.00005750342,0.001291348,0.0001373672,0.00007741882,0.00003908866,0.0001019595,0.00002377163,0.001193479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3496862,"threshold_uncertainty_score":0.5576425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003310828610809557,"score_gpt":0.1812880353463294,"score_spread":0.1779772067355199,"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."}}