{"id":"W2117424933","doi":"10.1186/gb-2007-8-8-r165","title":"A physical map of the bovine genome","year":2007,"lang":"en","type":"article","venue":"Genome biology","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; BC Cancer Agency","funders":"Biotechnology and Biological Sciences Research Council; Agricultural Research Service; Directorate for Biological Sciences; Institut National de la Recherche Agronomique; Conselho Nacional de Desenvolvimento Científico e Tecnológico; European Commission; Michael Smith Health Research BC; AgResearch; U.S. Department of Agriculture","keywords":"Bovine genome; Genome; Physical mapping; Computational biology; Biology; Genetics; Gene mapping; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018923,0.0004536971,0.0003635195,0.002681483,0.0006895564,0.001444681,0.0006540237,0.0005540718,0.005567767],"category_scores_gemma":[0.001020363,0.0003503753,0.0005847959,0.002928139,0.0003292468,0.0006594615,0.0007243262,0.001113928,0.001827382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008571824,"about_ca_system_score_gemma":0.001086063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005067051,"about_ca_topic_score_gemma":0.00455203,"domain_scores_codex":[0.9996816,0.00002624123,0.00002472719,0.0001439865,0.00009226771,0.00003123727],"domain_scores_gemma":[0.9992735,0.0001809718,0.0001662593,0.00006041053,0.0001843126,0.0001345765],"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":[0.0006507056,0.0001786707,0.01179796,0.002543115,0.0001250535,0.001256682,0.00099265,0.003160091,0.8168908,0.006412399,0.005539105,0.1504528],"study_design_scores_gemma":[0.0002948813,0.001235488,0.3673827,0.001298821,0.0009199045,0.00724359,0.0008711657,0.009594149,0.1217333,0.01473684,0.4745388,0.0001504629],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5277072,0.03002208,0.3364346,0.002457441,0.0004600625,0.00069496,0.0605008,0.003889408,0.0378336],"genre_scores_gemma":[0.4880192,0.01004763,0.3357196,0.0003798912,0.0002917383,0.0003217012,0.1554517,0.0004394627,0.00932897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005567767,"threshold_uncertainty_score":0.01862603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009100369425572215,"score_gpt":0.2303617573250793,"score_spread":0.2212613878995071,"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."}}