{"id":"W4415742256","doi":"10.1007/978-3-031-92076-9_21","title":"The Role of Modern Technologies for Improving the Production Environment of Livestock in Africa","year":2025,"lang":"en","type":"book-chapter","venue":"Sustainable development goals series","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakeland College; Agriculture and Agri-Food Canada","funders":"","keywords":"Livestock; Productivity; Production (economics); Animal production; Emerging technologies; Agriculture","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":[0.000412759,0.0004565073,0.0001714947,0.0008226422,0.0005730462,0.002297652,0.0004221287,0.0006872919,0.007136316],"category_scores_gemma":[0.0002866755,0.00017588,0.0001647972,0.0009538216,0.0009515157,0.002386731,0.0007189086,0.001076686,0.001461574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244837,"about_ca_system_score_gemma":0.0008062568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009124829,"about_ca_topic_score_gemma":0.002570004,"domain_scores_codex":[0.9998265,0.00004164225,0.000005851833,0.00001950153,0.00008882824,0.00001775879],"domain_scores_gemma":[0.9998988,0.00005846619,0.000008122038,0.000006336034,0.0000219645,0.000006338657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002591129,0.00008066304,0.0002848012,0.001544159,0.00001271612,0.0002790602,0.001342624,0.002476188,0.01334152,0.4054834,0.07549608,0.4996328],"study_design_scores_gemma":[0.000001649983,0.00002764313,0.0002572686,0.0004467184,0.000003410837,0.0001945862,0.0002153772,0.0003402419,0.002191789,0.01885328,0.9774609,0.000007236355],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00809234,0.4148003,0.01776441,0.008954219,0.002791097,0.00009688635,0.000118622,0.0001454112,0.5472368],"genre_scores_gemma":[0.05643483,0.4957282,0.03658425,0.003003923,0.001572007,0.0001111644,0.0001485551,0.00009705237,0.4063199],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007136316,"threshold_uncertainty_score":0.02387333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005042505357044186,"score_gpt":0.1713246925416003,"score_spread":0.1662821871845561,"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."}}