{"id":"W2127853043","doi":"10.1186/1471-2164-7-283","title":"A second generation radiation hybrid map to aid the assembly of the bovine genome sequence","year":2006,"lang":"en","type":"article","venue":"BMC Genomics","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; University of Alberta","keywords":"Radiation hybrid mapping; Genome; Bovine genome; Genetics; Hybrid genome assembly; Sequence assembly; Biology; Reference genome; Computational biology; Sequence-tagged site; Shotgun sequencing; Whole genome sequencing; Sequence (biology); Chromosome; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001448073,0.00008343697,0.00007186375,0.00001563393,0.0001292782,0.00002779521,0.0002241364,0.00004174018,0.00001904793],"category_scores_gemma":[0.00001683132,0.00005762667,0.00006345743,0.00003966463,0.00003029185,0.000001812797,0.00009454942,0.00003413778,0.0000124226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001451643,"about_ca_system_score_gemma":0.00007810712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005505303,"about_ca_topic_score_gemma":0.0002513276,"domain_scores_codex":[0.9994388,0.00003964179,0.0001467523,0.0001684517,0.00007994548,0.0001263967],"domain_scores_gemma":[0.999572,0.000006852651,0.00008577285,0.0002629536,0.00004624827,0.00002612495],"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":[0.00001611805,0.00001359908,0.001749855,0.000009507156,0.000008419024,2.170298e-7,0.00003238923,0.003234083,0.9870077,0.00009904458,0.007652314,0.0001767304],"study_design_scores_gemma":[0.0003202824,0.0001423481,0.02643415,0.000004300685,0.0000253708,0.00001389072,0.00006475761,0.0007338179,0.5903555,0.00008275382,0.381646,0.0001768632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964454,0.0003195043,0.001742044,0.0002424815,0.0002113126,0.0001820837,0.0001748592,0.000003488063,0.0006788449],"genre_scores_gemma":[0.9958145,0.00002689062,0.0007615429,0.0003417441,0.0003925632,0.000004610647,0.0001474596,0.00000640333,0.002504299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3966523,"threshold_uncertainty_score":0.2349948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819803658486203,"score_gpt":0.2158199524592019,"score_spread":0.1976219158743399,"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."}}