{"id":"W4402062194","doi":"10.1002/ird.3026","title":"Irrigation water strategies to intensify vegetable production on smallholder farms in Guyana","year":2024,"lang":"en","type":"article","venue":"Irrigation and Drainage","topic":"Sugarcane Cultivation and Processing","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Global Affairs Canada; Macdonald Stewart Foundation; McGill University; International Development Research Centre; Government of Canada","keywords":"Irrigation; Environmental science; Agriculture; Food security; Production (economics); Yield (engineering); Agricultural science; Agronomy; Water resource management; Agricultural economics; Geography; Economics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002670876,0.000102266,0.00008352213,0.0000515224,0.0001240962,0.0003114027,0.00004875749,0.0000601286,0.0001633925],"category_scores_gemma":[0.00004290062,0.00003921505,0.00002138,0.0003264158,0.0000278452,0.0003634599,0.00001879224,0.0001073841,0.00008574362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003136753,"about_ca_system_score_gemma":0.000007259049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120217,"about_ca_topic_score_gemma":0.0004349131,"domain_scores_codex":[0.9992079,0.00004032478,0.0001571206,0.0003000232,0.0001290926,0.0001655006],"domain_scores_gemma":[0.9998085,0.00003769556,0.00001640927,0.00003264197,0.00005069202,0.00005405209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004450251,0.00004702189,0.0002427216,0.00007597281,0.000007795291,0.00001041705,0.005179998,0.0002663927,0.7583291,0.09545264,0.0002055862,0.1401379],"study_design_scores_gemma":[0.0003858108,0.0005171797,0.1697475,0.0008147327,0.00002014336,0.00002954684,0.01336024,0.003571871,0.1933454,0.5470164,0.07034058,0.0008505846],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544829,0.00007729662,0.00004200111,0.0115142,0.0002775238,0.0002312248,0.000002472579,0.0001233621,0.03324907],"genre_scores_gemma":[0.9978872,0.000001619707,0.00005354101,0.0008155557,0.0001578657,0.00002411201,0.00006810058,0.000001513442,0.0009904791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5649837,"threshold_uncertainty_score":0.3002864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02900688562846623,"score_gpt":0.2551034398685463,"score_spread":0.22609655424008,"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."}}