{"id":"W1606973340","doi":"10.1002/9781118301739.ch9","title":"Sequencing the Bovine Genome","year":2012,"lang":"en","type":"other","venue":"","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute; Canada's Michael Smith Genome Sciences Centre","keywords":"Sequence assembly; Bovine genome; Genome; Computational biology; Biology; DNA sequencing; Genetics; Computer science; DNA; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002059637,0.0005396715,0.0006330374,0.002613827,0.000590205,0.001599001,0.0005476071,0.0006670674,0.01837102],"category_scores_gemma":[0.002058172,0.0004035835,0.0007920684,0.003832191,0.0001882652,0.0006877718,0.0008460927,0.0008296552,0.01310528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030434,"about_ca_system_score_gemma":0.001488652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01303538,"about_ca_topic_score_gemma":0.02418089,"domain_scores_codex":[0.9988758,0.0001678067,0.00007660259,0.000390877,0.0004074542,0.00008142561],"domain_scores_gemma":[0.9991617,0.0001544251,0.00007686649,0.0001476102,0.0003604115,0.00009900642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003273668,0.00004869132,0.006144046,0.001824748,0.0001149264,0.0002157161,0.0004427968,0.001370514,0.1782282,0.006836781,0.1945838,0.6098624],"study_design_scores_gemma":[0.00003869863,0.00008089537,0.02080123,0.0003999968,0.00008204329,0.0004094836,0.0001091258,0.0008027591,0.0232004,0.00261014,0.9514323,0.00003292473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06354652,0.07123142,0.2447404,0.005986524,0.003810701,0.0009577328,0.4007399,0.009962845,0.1990239],"genre_scores_gemma":[0.04042915,0.02848785,0.2747773,0.00210659,0.0006348077,0.0004309983,0.566447,0.002802263,0.08388413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01837102,"threshold_uncertainty_score":0.06145716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588436903628857,"score_gpt":0.2070314887856264,"score_spread":0.1811471197493379,"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."}}