{"id":"W2003291503","doi":"10.3390/d6040665","title":"Genotyping-By-Sequencing for Plant Genetic Diversity Analysis: A Lab Guide for SNP Genotyping","year":2014,"lang":"en","type":"article","venue":"Diversity","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":161,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Genotyping; Biology; Genetic diversity; Genome; Computational biology; SNP genotyping; Genetics; Genotype; Gene; Medicine; Population","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":[0.0003112907,0.0001906864,0.0002718977,0.00006662127,0.001142185,0.00002284795,0.0003720102,0.0001282525,0.000004858488],"category_scores_gemma":[0.0000958796,0.0002059397,0.0003027669,0.00009991189,0.00006247412,0.000001598463,0.001247541,0.00004225795,0.000002751834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005563368,"about_ca_system_score_gemma":0.00003486036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003525102,"about_ca_topic_score_gemma":0.0002921712,"domain_scores_codex":[0.9987966,0.0000380368,0.0001776047,0.0005092101,0.0001116364,0.0003669484],"domain_scores_gemma":[0.9992497,0.00004699756,0.0001194825,0.0003155438,0.00016966,0.00009864777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007073468,0.0001340029,0.4304282,0.0002127229,0.005552307,0.000002870102,0.001920146,0.004040227,0.5115843,0.0004256688,0.04035531,0.004636906],"study_design_scores_gemma":[0.007456217,0.001839866,0.3392756,0.00003502187,0.00675783,0.00001001208,0.001376956,0.01209232,0.1048017,0.002474677,0.5210766,0.002803202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9000374,0.0008873782,0.09755561,0.00005988358,0.0002030921,0.0003995722,0.000588999,0.00000980765,0.0002582417],"genre_scores_gemma":[0.9923964,0.0001490552,0.006181397,0.000425612,0.0002373265,0.00001684469,0.000272883,0.00001371591,0.0003067552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4807213,"threshold_uncertainty_score":0.878488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02265000712962527,"score_gpt":0.231673655562909,"score_spread":0.2090236484332837,"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."}}