{"id":"W4409151541","doi":"10.1080/02508060.2025.2477432","title":"Water reuse blueprint: from waste to resource","year":2025,"lang":"en","type":"article","venue":"Water International","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"European Commission","keywords":"Blueprint; Reuse; Resource (disambiguation); Environmental science; Waste management; Business; Environmental planning; Water resource management; Environmental resource management; Engineering; Computer science","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":[0.00008799365,0.0001315167,0.00009193638,0.00007036316,0.00007691023,0.00007672916,0.000752618,0.00004928907,0.007536646],"category_scores_gemma":[0.000009572744,0.00007310498,0.0000578593,0.00004205302,0.00004744887,0.0001269476,0.001349882,0.00007255253,0.008660788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001545235,"about_ca_system_score_gemma":0.000001912351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004754932,"about_ca_topic_score_gemma":0.00008107463,"domain_scores_codex":[0.9989362,0.00002529144,0.0001803672,0.0003506191,0.0002558579,0.0002516872],"domain_scores_gemma":[0.9994569,0.00001196548,0.00001100069,0.0004393357,0.000007949883,0.00007287083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002031752,0.0002525533,0.06045149,0.000003183406,0.00021748,0.00006193297,0.00662634,0.003271436,0.8029823,0.000154482,0.1237125,0.002063114],"study_design_scores_gemma":[0.0003195974,0.00001250215,0.002293831,0.00001332626,0.000009821031,9.670177e-7,0.00005132706,0.00006881222,0.6319377,0.001418018,0.3637766,0.00009754698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370655,0.000002062886,0.000120445,0.01902963,0.0005264026,0.0001203272,0.00001807651,0.00004835248,0.04306919],"genre_scores_gemma":[0.9225555,0.000001191799,0.000914422,0.001512608,0.0001174654,0.00002630777,0.0001470677,0.00001042923,0.07471498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2400641,"threshold_uncertainty_score":0.9933706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006152794606290527,"score_gpt":0.2184213186966502,"score_spread":0.2122685240903597,"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."}}