{"id":"W2519290480","doi":"10.5377/ceiba.v54i1.2772","title":"Applications of Technology for Livestock for Small Holders to Meet Global Food Production","year":2016,"lang":"en","type":"article","venue":"Ceiba","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; University of Alberta; College of Agriculture and Life Sciences, Iowa State University; Iowa State University; United States Agency for International Development","keywords":"Livestock; Business; World population; Production (economics); Developing country; Food processing; Population; Agricultural economics; Agriculture; Consumption (sociology); Scale (ratio); Natural resource economics; Agricultural science; Economic growth; Geography; Economics; Environmental health; Environmental science; Biology; Medicine; Food science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002196446,0.0006165312,0.0004407457,0.001242229,0.0007377509,0.001829981,0.001083991,0.001885763,0.01395479],"category_scores_gemma":[0.002115191,0.000267478,0.0009548631,0.0008979316,0.001049978,0.002483121,0.001979918,0.001999744,0.006809657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008506262,"about_ca_system_score_gemma":0.0009178695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007653225,"about_ca_topic_score_gemma":0.001031276,"domain_scores_codex":[0.9990048,0.0002432869,0.00004693865,0.0001594646,0.00041252,0.0001330434],"domain_scores_gemma":[0.9991775,0.0002519344,0.0001018247,0.0001030672,0.0002517092,0.0001139665],"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":[0.0002891278,0.0002720401,0.002980067,0.002249932,0.00008551434,0.001625493,0.001115539,0.001348837,0.3233853,0.08190829,0.04608092,0.538659],"study_design_scores_gemma":[0.00006124956,0.0009306304,0.002787649,0.0005764292,0.0001193401,0.002429551,0.0006784088,0.002651099,0.1017419,0.0199457,0.8680003,0.0000777385],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0803257,0.1378943,0.4338744,0.05025319,0.01494482,0.001105331,0.001047314,0.003997928,0.276557],"genre_scores_gemma":[0.3771113,0.126788,0.3594378,0.01842974,0.003339125,0.001187539,0.001005789,0.0007572803,0.1119434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01395479,"threshold_uncertainty_score":0.04668343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009800831212940763,"score_gpt":0.2306268819374302,"score_spread":0.2208260507244895,"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."}}