{"id":"W2153955626","doi":"10.1007/s11032-005-3424-7","title":"Efficient Genetic Mapping of Single Nucleotide Polymorphisms Based Upon DNA Mismatch Digestion","year":2005,"lang":"en","type":"article","venue":"Molecular Breeding","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Genome British Columbia; Canada's Michael Smith Genome Sciences Centre; Genome Canada","keywords":"Genetics; Single-nucleotide polymorphism; Biology; Molecular Inversion Probe; Heteroduplex; SNP; Genome; DNA; Gene; Computational biology; Genetic linkage; Genotype","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":[0.0001866181,0.0002231996,0.0001954515,0.0001202496,0.00009790013,0.00001990457,0.0002800982,0.000214277,0.00002057543],"category_scores_gemma":[0.00004361371,0.0002415969,0.0001819853,0.0002031828,0.00009919192,0.000001869173,0.0001216385,0.00009455491,0.000009655446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003612183,"about_ca_system_score_gemma":0.00004264252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001700174,"about_ca_topic_score_gemma":0.000004494561,"domain_scores_codex":[0.9985751,0.00005862308,0.0003721995,0.0004747249,0.0001839406,0.000335409],"domain_scores_gemma":[0.9991116,0.000009696882,0.0001816249,0.00049589,0.0001007938,0.0001004037],"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":[0.00001635298,0.0001355032,0.0003586007,0.00001438215,0.00002526216,0.000004428064,0.00001831796,0.004295115,0.9901788,0.0001873388,0.0001416714,0.00462429],"study_design_scores_gemma":[0.0003483999,0.0002091332,0.001016181,0.00004677846,0.00002780677,0.00002266672,0.00001681226,0.006040429,0.9833014,0.00003705205,0.008667493,0.0002658585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.783146,0.0004462919,0.2147076,0.0005208527,0.00004812261,0.00025709,0.00001111232,0.00004462866,0.0008183525],"genre_scores_gemma":[0.9641823,0.00001225906,0.03498525,0.0004499307,0.0001439356,0.00004920169,0.00008571742,0.00004569724,0.00004569647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1810363,"threshold_uncertainty_score":0.9852037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111904538673162,"score_gpt":0.2291898059881211,"score_spread":0.2179993521208049,"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."}}