{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008344714,0.0000818468,0.00008987416,0.0000165533,0.00007621973,0.000003263766,0.0001549535,0.00007137428,0.00003101173],"category_scores_gemma":[0.0001044459,0.00005373865,0.00005244042,0.0001924933,0.0001706446,0.00007540109,0.00007263629,0.00001267744,0.00001984331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002931555,"about_ca_system_score_gemma":0.000005687595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001186163,"about_ca_topic_score_gemma":0.0001305433,"domain_scores_codex":[0.9993473,0.000005784092,0.0001192233,0.0002655205,0.00006196801,0.0002001457],"domain_scores_gemma":[0.9996464,0.00002117214,0.00004920139,0.0002096545,0.000009588928,0.00006397715],"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":[0.0003275982,0.001205756,0.1121604,0.0002233069,0.00009571396,2.455027e-7,0.0008790942,0.001676096,0.2311887,0.02170696,0.03882764,0.5917085],"study_design_scores_gemma":[0.001672974,0.004077696,0.1574114,0.00005274904,0.0001189271,0.00001953789,0.003318534,0.000016508,0.163817,0.21421,0.4545159,0.0007687272],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8531919,0.0000216995,0.1352862,0.007785698,0.00005832888,0.002856486,0.0001001751,0.00005001139,0.0006495424],"genre_scores_gemma":[0.9875909,0.000002155535,0.01084611,0.00006264877,0.00003799474,0.0009316848,0.000003443027,0.00000583301,0.0005192267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5909398,"threshold_uncertainty_score":0.2191399,"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."}}