{"id":"W4403137496","doi":"10.3389/fagro.2024.1378339","title":"Productivity of sorghum and millets under different in-field rainwater management options on soils of varying fertility status in Zimbabwe","year":2024,"lang":"en","type":"article","venue":"Frontiers in Agronomy","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Sorghum; Rainwater harvesting; Productivity; Agronomy; Soil water; Soil fertility; Environmental science; Agriculture; Fertility; Agricultural economics; Agroforestry; Business; Agricultural engineering; Geography; Economics; Biology; Soil science; Engineering; Economic growth; Ecology; Population","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":[0.0002053209,0.0003309109,0.0002407273,0.000420137,0.0003056886,0.0004034708,0.0002466128,0.0001457151,0.0007498101],"category_scores_gemma":[0.0003706045,0.0001776879,0.0001621022,0.0004428694,0.0002920061,0.0002626935,0.0002779671,0.000207398,0.0001024482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001147024,"about_ca_system_score_gemma":0.0002546214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03859396,"about_ca_topic_score_gemma":0.06973688,"domain_scores_codex":[0.999856,0.00003131243,0.00001269788,0.00003158885,0.00001949448,0.00004876831],"domain_scores_gemma":[0.9998061,0.00004599525,0.00006488103,0.00001194285,0.00002405441,0.00004704287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005030538,0.0007262391,0.3630918,0.0004242496,0.0002282472,0.0007655789,0.003708176,0.0009965331,0.602432,0.0002794674,0.0003378439,0.02197943],"study_design_scores_gemma":[0.00002741375,0.0006952171,0.9949072,0.000008320242,0.00002428793,0.00004439124,0.0004677988,0.000255587,0.003175241,0.00001669831,0.0003710101,0.000006841473],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997323,0.0000659023,0.00001273291,0.000006354462,7.345113e-7,0.000004705723,0.00007117858,7.652947e-7,0.0001053724],"genre_scores_gemma":[0.9994245,0.00009170873,0.00005790538,0.00001267674,0.000001014964,0.000009646056,0.0001525211,6.552815e-7,0.0002493501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03859396,"threshold_uncertainty_score":0.0767386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668174482229922,"score_gpt":0.224828722733825,"score_spread":0.2081469779115257,"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."}}