{"id":"W4412025159","doi":"10.1016/j.compag.2025.110729","title":"A framework for estimating agricultural water requirements: Accounting for anthropogenic activities and climate change","year":2025,"lang":"en","type":"article","venue":"Computers and Electronics in Agriculture","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Agriculture; Environmental science; Climate change; Environmental resource management; Water resource management; Geography; 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":[0.0002001059,0.0001589962,0.0001835829,0.0000288743,0.0004523803,0.0000688892,0.0001024491,0.00009555118,0.000003158739],"category_scores_gemma":[0.00001168849,0.00009370529,0.00003683651,0.00009038849,0.00009080078,0.000226127,0.0002983818,0.0001227296,6.645768e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007431503,"about_ca_system_score_gemma":0.000001223832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001344422,"about_ca_topic_score_gemma":0.00009004419,"domain_scores_codex":[0.9989819,0.00001539369,0.000142737,0.0003171933,0.00005674851,0.0004860301],"domain_scores_gemma":[0.9997842,0.00008700496,0.00004217341,0.00005994146,0.000006313475,0.00002036014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001023819,0.001045144,0.2739625,0.004375875,0.001623017,0.00001817055,0.0391142,0.009995612,0.03543219,0.2525049,0.05611907,0.3247854],"study_design_scores_gemma":[0.0137065,0.003025312,0.3137708,0.002991541,0.001215372,0.00006091596,0.01018303,0.1660558,0.0151458,0.3417836,0.1270293,0.005031882],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.941122,0.001559911,0.04882399,0.005864681,0.0005595356,0.001622791,0.000009798549,0.00007228681,0.0003649832],"genre_scores_gemma":[0.9633176,0.0005766171,0.03442889,0.001040086,0.00014143,0.0003627251,0.00003082375,0.000007603923,0.00009419957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3197536,"threshold_uncertainty_score":0.3821191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291189127387606,"score_gpt":0.2611495017198598,"score_spread":0.2482376104459838,"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."}}