{"id":"W4401328086","doi":"10.54846/jshap/491","title":"Blood sampling boars","year":2006,"lang":"en","type":"article","venue":"Journal of Swine Health and Production","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Sampling (signal processing); Blood sampling; Biology; Statistics; Mathematics; Computer science; Medicine; Internal medicine; Telecommunications","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":[0.001140384,0.001820099,0.001341269,0.001497206,0.00120197,0.0006387092,0.0009990617,0.001806241,0.012211],"category_scores_gemma":[0.001180626,0.0006957073,0.0005573951,0.0008234081,0.001004214,0.0004196261,0.00047348,0.001192287,0.00869458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002739676,"about_ca_system_score_gemma":0.0005359064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002333195,"about_ca_topic_score_gemma":0.003041891,"domain_scores_codex":[0.9990085,0.0001702358,0.00008794929,0.000413204,0.0001672749,0.0001528195],"domain_scores_gemma":[0.9993024,0.00009355223,0.0000798018,0.0002001915,0.0001726455,0.0001514655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01451285,0.006575943,0.3869568,0.003017404,0.0006046114,0.01067037,0.003991889,0.0008093001,0.2493464,0.003635967,0.05771644,0.262162],"study_design_scores_gemma":[0.001837387,0.03648347,0.6260073,0.00109265,0.0008281737,0.01091321,0.001347863,0.001676781,0.06030826,0.002309981,0.2569714,0.0002235087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8196371,0.0118524,0.03176013,0.002009915,0.002355722,0.02410493,0.03051261,0.001997059,0.07577013],"genre_scores_gemma":[0.7368606,0.009978716,0.04339498,0.009263339,0.002431535,0.01724855,0.04303914,0.0003974892,0.1373856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.012211,"threshold_uncertainty_score":0.04084986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349169573656147,"score_gpt":0.2661561318993875,"score_spread":0.252664436162826,"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."}}