{"id":"W6968019707","doi":"10.5281/zenodo.14718721","title":"N OVERVIEW OF FARMER'S WATER USERS ASSOCIATION INVOLVEMENT AND EFFICIENCY IN DJIRATAWA HYDRO- AGRICULTURAL PLANNING, NIGER","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Irrigation; Software; Agriculture; Association (psychology); Distribution (mathematics); Irrigation management; Water source","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":[0.0006552412,0.000106821,0.00009997292,0.001636111,0.0007970421,0.0007992804,0.0002064681,0.0001870731,0.003432087],"category_scores_gemma":[0.0007841681,0.0001366732,0.000125036,0.002377281,0.0003092445,0.000507245,0.0007066029,0.0001622801,0.0001666895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009096651,"about_ca_system_score_gemma":0.001011532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02962117,"about_ca_topic_score_gemma":0.08278382,"domain_scores_codex":[0.9995936,0.0001498522,0.00005495596,0.00004785981,0.00006251157,0.00009120673],"domain_scores_gemma":[0.9991967,0.000329575,0.0002599533,0.00002179032,0.00009482666,0.00009718055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004042246,0.0000655222,0.9215166,0.0006604411,0.00003140233,0.0007529504,0.02515216,0.0001241846,0.0005294578,0.001011829,0.001032608,0.0490824],"study_design_scores_gemma":[0.000001361503,0.00005224724,0.9320673,0.0004318784,0.00002781854,0.0006077951,0.05519149,0.000156246,0.0002446523,0.0001044443,0.01110484,0.000009876861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890723,0.002642935,0.0001981115,0.0003509071,0.000008934785,0.00003180812,0.0005588468,0.000005394378,0.007130715],"genre_scores_gemma":[0.9948715,0.002642328,0.0002216339,0.00003804292,0.000003701983,0.00002227021,0.0002035414,0.000001635857,0.001995361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02962117,"threshold_uncertainty_score":0.05889755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05009952164710852,"score_gpt":0.2657223468172216,"score_spread":0.2156228251701131,"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."}}