{"id":"W2014258101","doi":"10.1016/j.tibtech.2007.10.001","title":"Impact of genomics on animal agriculture and opportunities for animal health","year":2007,"lang":"en","type":"article","venue":"Trends in biotechnology","topic":"Animal Genetics and Reproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"U.S. Department of Agriculture","keywords":"Livestock; Agriculture; Genomics; Biotechnology; Developing country; Business; Production (economics); Animal agriculture; Consumption (sociology); Natural resource economics; Economic growth; Biology; Genome; Economics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002133001,0.0001191642,0.000165341,0.0001942536,0.00003628147,0.00000338481,0.00008326732,0.0003308048,0.000002814798],"category_scores_gemma":[0.0000150214,0.00009472349,0.00006512601,0.000100212,0.0001429268,0.000001314326,0.00005279431,0.0000937275,1.627815e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003000543,"about_ca_system_score_gemma":0.00003508179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002969062,"about_ca_topic_score_gemma":0.00007322006,"domain_scores_codex":[0.9992181,0.00001129262,0.0002079387,0.0002901882,0.00003802373,0.0002344505],"domain_scores_gemma":[0.9996455,0.000004982576,0.0001058004,0.0001743005,0.00002920852,0.00004025358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005680132,0.00009494858,0.0009057145,0.00001177874,0.00003141467,0.000001613525,0.00003370859,0.00001258146,0.928194,0.002179705,0.0009452712,0.06702119],"study_design_scores_gemma":[0.001139471,0.02032211,0.1900498,0.00001596884,0.00001348253,0.00008973429,0.0004307386,0.0000438372,0.7433698,0.0001101818,0.04409276,0.0003221168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965219,0.001129091,0.0002259044,0.0017412,0.00003705185,0.00009555812,0.00003917237,0.00001164052,0.0001984123],"genre_scores_gemma":[0.9976503,0.001065039,0.0008540767,0.00005521995,0.00009691821,0.000004073384,0.00006831173,0.00001179301,0.0001942969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1891441,"threshold_uncertainty_score":0.3862712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03666530340373703,"score_gpt":0.3219714988383659,"score_spread":0.2853061954346289,"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."}}