{"id":"W2141218860","doi":"10.1534/g3.114.011023","title":"Fast and Cost-Effective Genetic Mapping in Apple Using Next-Generation Sequencing","year":2014,"lang":"en","type":"article","venue":"G3 Genes Genomes Genetics","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"National Human Genome Research Institute; Canada Research Chairs","keywords":"Genotyping; DNA sequencing; Computational biology; Biology; Genetics; Single-nucleotide polymorphism; Genotype; Population; SNP genotyping; DNA; 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":[0.00249454,0.0006191956,0.0009299354,0.001234709,0.0005796988,0.001704554,0.0006736777,0.0008819137,0.0009808542],"category_scores_gemma":[0.00187569,0.0005703208,0.0009376621,0.001012213,0.0003308554,0.0007596351,0.001047479,0.001144337,0.0008136085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006245113,"about_ca_system_score_gemma":0.0007571233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002164519,"about_ca_topic_score_gemma":0.005064329,"domain_scores_codex":[0.9986078,0.0002801362,0.0001112106,0.0003770058,0.0005428132,0.00008099157],"domain_scores_gemma":[0.9990389,0.0004495278,0.0001134708,0.0001261446,0.0001796881,0.00009217735],"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":[0.0002686243,0.0001197597,0.009819711,0.0005734419,0.000193639,0.0004469662,0.0004192623,0.008685593,0.8402394,0.003936754,0.003017973,0.1322789],"study_design_scores_gemma":[0.0003009627,0.0007809325,0.1177529,0.0003787609,0.0005232301,0.001905967,0.0005571179,0.1854458,0.5552835,0.0179028,0.1186566,0.0005114615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3066283,0.004833749,0.6678193,0.000824088,0.0003387948,0.0006333155,0.007639394,0.005637412,0.005645695],"genre_scores_gemma":[0.1634775,0.001729331,0.8233891,0.0004500241,0.00006653611,0.0002780348,0.007955778,0.0004709448,0.002182676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00249454,"threshold_uncertainty_score":0.01319259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04260383816252307,"score_gpt":0.2461068173832469,"score_spread":0.2035029792207239,"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."}}