{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006005898,0.001637019,0.0008201036,0.0021396,0.004362177,0.01110905,0.002921863,0.0170085,0.03087664],"category_scores_gemma":[0.006485546,0.0008376298,0.0009516054,0.001946114,0.003011735,0.006483743,0.005424514,0.007011032,0.01024561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01066356,"about_ca_system_score_gemma":0.03132269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04495396,"about_ca_topic_score_gemma":0.05712948,"domain_scores_codex":[0.993802,0.001080615,0.0003563776,0.0006762436,0.002496828,0.001587952],"domain_scores_gemma":[0.9961802,0.0007927835,0.0003917182,0.0003868456,0.001674248,0.0005742921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001570712,0.0002648969,0.0007292036,0.0007772421,0.00001883538,0.0007513643,0.000931133,0.001473059,0.004082089,0.3214434,0.5779498,0.09142192],"study_design_scores_gemma":[0.00001852737,0.00005646156,0.000431638,0.0002592471,0.000005670918,0.00006678855,0.0003001299,0.0002121722,0.0007693872,0.01005202,0.9877962,0.00003171214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01368796,0.01027459,0.01955903,0.4083459,0.01750551,0.001008675,0.00336147,0.002311851,0.523945],"genre_scores_gemma":[0.0512698,0.005665495,0.018235,0.2097266,0.003481557,0.001269839,0.001402655,0.0006640959,0.7082849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04495396,"threshold_uncertainty_score":0.1032926,"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."}}