{"id":"W3207570729","doi":"10.1080/07900627.2021.1969223","title":"Scenarios for public systems transition using learning alliances: the case of water supply in Uganda","year":2021,"lang":"en","type":"article","venue":"International Journal of Water Resources Development","topic":"Water resources management and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Alliance; Business; Water supply; Robustness (evolution); Environmental resource management; Environmental planning; Economics; Geography; Engineering","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":[0.003097352,0.000601334,0.0004068224,0.001151604,0.003852282,0.003377066,0.001577352,0.004734095,0.009837396],"category_scores_gemma":[0.007111517,0.000378572,0.0009095217,0.001187096,0.002703988,0.004372799,0.004976819,0.002501781,0.0004468769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004521808,"about_ca_system_score_gemma":0.002655791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02293876,"about_ca_topic_score_gemma":0.0305915,"domain_scores_codex":[0.9971986,0.002077902,0.00006950647,0.00009701452,0.0001338736,0.0004231076],"domain_scores_gemma":[0.9948562,0.003332853,0.0002655017,0.0002457507,0.0003333121,0.0009663331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006734871,0.0009329173,0.01192338,0.0002151406,0.00007604905,0.009113668,0.01085066,0.678696,0.0007731767,0.2676412,0.005877714,0.01322665],"study_design_scores_gemma":[0.0004742849,0.0007138397,0.005078475,0.0002210425,0.00005959676,0.000685441,0.0416502,0.7422083,0.0008810028,0.1723977,0.03549477,0.0001353301],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8547675,0.0003353692,0.03331412,0.007298145,0.00009514535,0.0005003328,0.0005527167,0.0001951952,0.1029415],"genre_scores_gemma":[0.9911584,0.0001134878,0.005692224,0.00006032595,0.000006849382,0.000159702,0.0001042422,0.00001101869,0.002693689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02293876,"threshold_uncertainty_score":0.04561049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280514485242474,"score_gpt":0.2253974755893706,"score_spread":0.2025923307369459,"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."}}