{"id":"W2621038329","doi":"10.1002/ird.2225","title":"Key and Smart Actions to Alleviate Hunger and Poverty Through Irrigation and Drainage","year":2018,"lang":"en","type":"article","venue":"Irrigation and Drainage","topic":"Water resources management and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Poverty; Sustainable development; Drainage; Irrigation; Business; Natural resource economics; Scarcity; Productivity; Corporate governance; Economics; Environmental planning; Economic growth; Political science; Geography; Ecology; Finance","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":[0.0001417752,0.0001655958,0.0001339693,0.0001098885,0.0002579028,0.0002261849,0.00003940967,0.00007382927,0.00003922076],"category_scores_gemma":[0.00002187853,0.0001599671,0.00001411806,0.0001542841,0.00009485021,0.0005360488,0.00007096222,0.00007334993,0.00001522269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002136998,"about_ca_system_score_gemma":0.000002427702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004219812,"about_ca_topic_score_gemma":0.00008842869,"domain_scores_codex":[0.9992566,0.00002806471,0.0001661858,0.0002569495,0.0001073848,0.0001848524],"domain_scores_gemma":[0.9996699,0.00002624205,0.0000341818,0.0001279415,0.00003545669,0.0001062764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002047077,0.0001178986,0.002122008,0.001307213,0.000406928,0.00002659138,0.0734152,0.003147657,0.01895483,0.8005919,0.01198934,0.08771576],"study_design_scores_gemma":[0.003465147,0.0005426274,0.1370721,0.0002760751,0.0002484663,0.00003977892,0.002172904,0.241225,0.003733604,0.3153127,0.294322,0.001589655],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3975202,0.0004797427,0.04501192,0.00394788,0.0003586616,0.0009980683,0.00001990372,0.0005271036,0.5511366],"genre_scores_gemma":[0.9953321,0.00003245591,0.00256333,0.0006803125,0.0001022429,0.00001984025,0.00003583244,0.00002673406,0.00120719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5978119,"threshold_uncertainty_score":0.6523268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01562455205140957,"score_gpt":0.2270616625915265,"score_spread":0.2114371105401169,"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."}}