{"id":"W3006181376","doi":"10.5539/jas.v12n3p141","title":"Impact of ICT Based Extension Services on Dairy Production and Household Welfare: The Case of iCow Service in Kenya","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Livestock Research Institute","keywords":"Business; Welfare; Production (economics); Information and Communications Technology; Dairy farming; Agriculture; Household income; Agricultural economics; Agricultural science; Matching (statistics); Agricultural extension; Service provider; Service (business); Economics; Marketing; Geography; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007273057,0.0001414615,0.0002370442,0.00003261762,0.0002629149,0.00007793682,0.0003494198,0.00005067087,0.00002809417],"category_scores_gemma":[0.0002000164,0.00003356732,0.00009169209,0.00267727,0.000141011,0.0009810014,0.00006919132,0.0002357862,5.907474e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003793442,"about_ca_system_score_gemma":0.00002412686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009173655,"about_ca_topic_score_gemma":0.0006551222,"domain_scores_codex":[0.9986354,0.00009035297,0.0004891903,0.0002174946,0.0003886881,0.0001789019],"domain_scores_gemma":[0.9981067,0.0001646541,0.0008430152,0.00005418299,0.0007237308,0.0001077409],"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":[0.0001429153,0.0001479134,0.01344914,0.00003186664,0.00001255422,0.00002757756,0.0005449713,0.002547864,0.9780994,0.0001108503,0.0002101251,0.004674838],"study_design_scores_gemma":[0.0001234688,0.0009246077,0.9880319,0.00009857185,0.00001861147,0.0004533916,0.003047508,0.0001514221,0.006954296,0.00001750161,0.00008102753,0.00009772045],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741078,0.0001101727,1.88104e-7,0.02548171,0.00008118981,0.0001580378,0.00001406153,0.000006759972,0.00004008909],"genre_scores_gemma":[0.9994648,0.00004207975,0.00009516655,0.0002334162,0.0001568402,0.000001054673,0.000002621782,5.462103e-7,0.00000355318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9745827,"threshold_uncertainty_score":0.2022155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04210459403757217,"score_gpt":0.2655826765670459,"score_spread":0.2234780825294737,"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."}}