{"id":"W4402422496","doi":"10.1016/j.indic.2024.100477","title":"Effects of extension service on the uptake of climate-smart sorghum production practices: Insights from drylands of Ethiopia","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Extension (predicate logic); Sorghum; Production (economics); Service (business); Geography; Business; Agroforestry; Computer science; Environmental science; Marketing; Economics; Forestry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002831708,0.0001512678,0.0002169098,0.00002538009,0.000105726,0.00001657857,0.000133143,0.0001285011,0.0001025989],"category_scores_gemma":[0.000263551,0.0000487644,0.00007115732,0.0002913695,0.0002056482,0.0001366536,0.0001173653,0.0001842689,0.000003348595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000698671,"about_ca_system_score_gemma":0.000009938838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002552607,"about_ca_topic_score_gemma":0.00008496443,"domain_scores_codex":[0.9987768,0.0001383535,0.0003037568,0.0003296019,0.0002916984,0.0001597959],"domain_scores_gemma":[0.9988724,0.0006370867,0.0003021894,0.0001053631,0.00002093415,0.00006202664],"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":[0.0002099903,0.0008131939,0.04200229,0.001023456,0.00006247118,0.000006857954,0.006460888,0.000003962673,0.9287743,0.0003074334,0.00008809932,0.02024708],"study_design_scores_gemma":[0.00008905978,0.0003740332,0.8812597,0.0001217145,0.00005976202,0.000001850442,0.01313658,0.00001553387,0.1023657,0.0007041023,0.001763456,0.0001084813],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955297,0.0007737245,9.089241e-8,0.002894945,0.00009739743,0.0005566859,0.00008388075,0.00001908975,0.00004452602],"genre_scores_gemma":[0.9990962,0.0006581224,0.000004520195,0.00007974442,0.00005826909,0.00001625639,0.0000682543,0.00000159144,0.00001711447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8392575,"threshold_uncertainty_score":0.1988554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055363597417556,"score_gpt":0.2247969263045562,"score_spread":0.2142432903303806,"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."}}