{"id":"W4408990628","doi":"10.1016/j.agwat.2025.109434","title":"Understanding hydrometeorological conditions and their relationship with crop production in the upper east region, Ghana","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Fakultas Sains dan Teknik, Universitas Nusa Cendana","keywords":"Hydrometeorology; Crop production; Production (economics); Crop; Geography; Water resource management; Environmental science; Hydrology (agriculture); Forestry; Geology; Agriculture; Precipitation; Meteorology; Economics; Archaeology; Geotechnical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001969027,0.00009844039,0.00008069583,0.00005098024,0.0003375133,0.00003738583,0.000109364,0.00003814973,0.00008225856],"category_scores_gemma":[0.000004331839,0.00003602131,0.00002534421,0.0003848105,0.0001698542,0.0001682181,0.00008584987,0.0001042475,0.00003851061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008913608,"about_ca_system_score_gemma":4.902271e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002711168,"about_ca_topic_score_gemma":0.0002668815,"domain_scores_codex":[0.9992767,0.0001072863,0.0001125066,0.0002490667,0.00008561958,0.0001688192],"domain_scores_gemma":[0.9998124,0.00002213505,0.00002068705,0.0001253225,0.000003022237,0.00001643627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008900618,0.0003412497,0.8936304,0.00004374789,0.0003634532,0.00006888455,0.01065439,0.01628716,0.0009867381,0.05200684,0.02511998,0.0004081323],"study_design_scores_gemma":[0.0002173861,0.00003982366,0.971999,0.00001492027,0.00008231627,0.00002600568,0.005873281,0.0001047586,0.0001578102,0.02034615,0.001022066,0.0001164858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9517382,0.000009510577,0.0005235256,0.02074631,0.00002741307,0.0002745989,3.711401e-7,0.00002052332,0.02665957],"genre_scores_gemma":[0.9963709,0.000005890466,0.00004520787,0.0003866192,0.0000100259,0.0000533057,0.00002407828,0.000001540926,0.003102466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07836859,"threshold_uncertainty_score":0.2595913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03013897739713656,"score_gpt":0.2105145431374857,"score_spread":0.1803755657403492,"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."}}