{"id":"W2296792180","doi":"10.1101/027318","title":"Utilization of high throughput genome sequencing technology for large scale single nucleotide polymorphism discovery in red deer and Canadian elk","year":2015,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"AgResearch","keywords":"Genotyping; Genome; Bovine genome; SNP genotyping; Biology; Single-nucleotide polymorphism; Reference genome; Genetics; DNA sequencing; Molecular Inversion Probe; Whole genome sequencing; Tag SNP; Sequence assembly; SNP; Computational biology; Gene; Genotype; Transcriptome","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007541745,0.0002359173,0.000322427,0.001209311,0.001065925,0.0009449269,0.0005804009,0.0002725319,0.0007517726],"category_scores_gemma":[0.0005932016,0.000163155,0.0003279846,0.001436189,0.000346704,0.0001547647,0.0005334459,0.0002995649,0.0001582279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003213613,"about_ca_system_score_gemma":0.003765487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5287886,"about_ca_topic_score_gemma":0.790168,"domain_scores_codex":[0.9993299,0.00004238334,0.0000217959,0.0001769285,0.000308625,0.000120375],"domain_scores_gemma":[0.9996049,0.0000803798,0.00004736474,0.00003368999,0.0001889433,0.00004476977],"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":[0.00071078,0.0001219624,0.1154701,0.0003495325,0.0003522956,0.0008343506,0.001284129,0.00457027,0.768685,0.00189744,0.002439403,0.1032846],"study_design_scores_gemma":[0.00007254486,0.0002325397,0.8634048,0.00007416811,0.0003209247,0.0007607354,0.000998857,0.008822847,0.07745535,0.0007087751,0.04703221,0.000116278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9648843,0.001912746,0.01699669,0.0002038025,0.00002715449,0.0001800857,0.009943728,0.0002153727,0.005636123],"genre_scores_gemma":[0.89263,0.001759742,0.08208796,0.0003032946,0.00001376746,0.0001604123,0.01600766,0.00008543509,0.006951728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4712114,"threshold_uncertainty_score":0.947973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743176717344663,"score_gpt":0.2178533069937421,"score_spread":0.2004215398202954,"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."}}