{"id":"W7017389409","doi":"","title":"Allen D. Leman Swine Conference Recent Research Reports","year":2015,"lang":"en","type":"article","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fondo de Fomento al Desarrollo Científico y Tecnológico; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Zinpro; National Institutes of Health; Zoetis; University of Minnesota","keywords":"Field (mathematics); Government (linguistics); Context (archaeology); Identification (biology)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009876472,0.0002963561,0.0006186962,0.0004098868,0.0003509418,0.00003745427,0.0009231762,0.0001856514,0.0005876764],"category_scores_gemma":[0.0006026339,0.0003963309,0.0002114945,0.0005471223,0.001352786,0.001318134,0.0009313634,0.0003792956,0.0001473121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002082389,"about_ca_system_score_gemma":0.0005556837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002007257,"about_ca_topic_score_gemma":0.0005924634,"domain_scores_codex":[0.9971007,0.0002452424,0.0003186908,0.0007324745,0.00105318,0.0005497335],"domain_scores_gemma":[0.9953303,0.0003750031,0.0005156745,0.000731114,0.002628728,0.00041918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0239246,0.006864553,0.2026949,0.001784377,0.002128986,0.05300412,0.07822016,0.0001027847,0.01998997,0.01622206,0.5309454,0.06411806],"study_design_scores_gemma":[0.005068019,0.005512082,0.02591679,0.001009577,0.0001982522,0.0009603102,0.1418469,0.0009180401,0.0004138064,0.003993992,0.8127751,0.001387175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8990282,0.0002816953,0.0003689842,0.002123456,0.0001364068,0.0002995805,0.0001844604,0.0001252208,0.09745193],"genre_scores_gemma":[0.9854246,0.0003173836,0.002178414,0.00001343004,0.00003898467,6.887065e-8,0.00006832139,0.00002456427,0.01193424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2818296,"threshold_uncertainty_score":0.9998488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3184466820513535,"score_gpt":0.3531990616423102,"score_spread":0.03475237959095678,"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."}}