{"id":"W3154983862","doi":"10.1080/14615517.2021.1911752","title":"Rural water sustainability index (RWSI): an innovative multicriteria and participative approach for rural communities","year":2021,"lang":"en","type":"article","venue":"Impact Assessment and Project Appraisal","topic":"Water Resources and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Sustainability; Delphi method; Index (typography); Environmental planning; Environmental resource management; Environmental Sustainability Index; Geographic information system; Rural area; Geography; Business; Computer science; Environmental science; Cartography; Political science; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0009063815,0.0003044011,0.0003558874,0.00004970192,0.0004144618,0.0003518635,0.0001610043,0.0001058434,0.0001341098],"category_scores_gemma":[0.00007345709,0.0002029608,0.0000659768,0.0002152552,0.0006329541,0.0007038338,0.0005157381,0.0002408349,3.683337e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002675579,"about_ca_system_score_gemma":0.0001177082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004393966,"about_ca_topic_score_gemma":0.0001455147,"domain_scores_codex":[0.9980215,0.0004844985,0.0003125528,0.0002713884,0.0002490587,0.0006609616],"domain_scores_gemma":[0.9990864,0.0002075245,0.00006674639,0.0003362067,0.0001499217,0.0001531364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003377235,0.0004331985,0.9217585,0.0001297427,0.00007138207,0.000003797511,0.06947851,0.0001507831,0.001248889,0.0001155144,0.00007373463,0.006198166],"study_design_scores_gemma":[0.001553926,0.0008180856,0.7825319,0.000008086345,0.00003860449,0.00002160945,0.192492,0.01951415,0.0007821862,0.001019423,0.0007921659,0.0004278586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960624,0.00002162445,0.001989923,0.0002782386,0.00004156967,0.001061321,0.00004048731,0.00004376189,0.0004606587],"genre_scores_gemma":[0.9973498,0.000004415777,0.00189347,0.00006548189,0.00003761601,0.0002889971,0.0002644142,0.00002160321,0.00007422594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1392267,"threshold_uncertainty_score":0.8276502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02929978637358286,"score_gpt":0.3991313139161135,"score_spread":0.3698315275425306,"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."}}