{"id":"W2972080743","doi":"10.3835/plantgenome2018.08.0061","title":"A Systematic Gene‐Centric Approach to Define Haplotypes and Identify Alleles on the Basis of Dense Single Nucleotide Polymorphism Datasets","year":2019,"lang":"en","type":"article","venue":"The Plant Genome","topic":"Soybean genetics and cultivation","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grain Research Centre","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Haplotype; Biology; Genotyping; Genetics; Single-nucleotide polymorphism; Allele; SNP genotyping; Germplasm; SNP; Genotype; 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":[0.004303912,0.001094715,0.001509034,0.002403705,0.0006983994,0.002377714,0.002509092,0.0008093575,0.002747938],"category_scores_gemma":[0.009659857,0.001111195,0.002082332,0.002543756,0.0008627306,0.001580121,0.00229162,0.00241339,0.002305109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005762217,"about_ca_system_score_gemma":0.001971269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692282,"about_ca_topic_score_gemma":0.003802967,"domain_scores_codex":[0.9978036,0.0007120464,0.0001864597,0.00077293,0.0004355148,0.00008939664],"domain_scores_gemma":[0.9963385,0.001253769,0.0003697513,0.00125373,0.0005987901,0.0001855887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008865683,0.0005042431,0.05043719,0.003279846,0.002733779,0.001410738,0.002834776,0.06647763,0.1534398,0.0769086,0.04883218,0.5922548],"study_design_scores_gemma":[0.0004444117,0.0004475873,0.01697229,0.0003983035,0.0006501488,0.001868476,0.0005302948,0.5926135,0.08166846,0.135636,0.1683887,0.0003818048],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005065521,0.000108364,0.9827818,0.00008545691,0.00002774686,0.0001602181,0.002343512,0.009052984,0.0003744413],"genre_scores_gemma":[0.03213754,0.00007524744,0.9597011,0.0001287599,0.00001384657,0.0005688283,0.004988416,0.002000825,0.0003854795],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004303912,"threshold_uncertainty_score":0.02276158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02981245406458185,"score_gpt":0.1901295389808097,"score_spread":0.1603170849162278,"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."}}