{"id":"W2178862077","doi":"10.1111/tpj.13070","title":"Development of two major resources for pea genomics: the GenoPea 13.2K SNP Array and a high‐density, high‐resolution consensus genetic map","year":2015,"lang":"en","type":"article","venue":"The Plant Journal","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Agence Nationale de la Recherche","keywords":"SNP; Genomics; High resolution; SNP array; Biology; Computational biology; Genetics; Computer science; Genome; Geography; Single-nucleotide polymorphism; Gene; Remote sensing; Genotype","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005145369,0.0001109999,0.0001441578,0.00000669217,0.0006310583,0.00004701124,0.000199441,0.00002824376,0.0000202899],"category_scores_gemma":[0.00001247526,0.0000322073,0.00003707825,0.00002952649,0.0001842525,0.00001086104,0.0001160959,0.00009296446,0.00001034532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003594188,"about_ca_system_score_gemma":0.00001255293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002326058,"about_ca_topic_score_gemma":0.0009212447,"domain_scores_codex":[0.9991696,0.00007985265,0.0002372722,0.0001186085,0.0001831215,0.0002114917],"domain_scores_gemma":[0.9995638,0.000124823,0.0001587801,0.0000428488,0.00002857498,0.00008123048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008683302,0.0001621348,0.01659148,0.00002908378,0.0004183264,0.00001935635,0.01513943,0.0006927193,0.9049525,0.0001649085,0.01108234,0.04987942],"study_design_scores_gemma":[0.001246275,0.0005136888,0.8962044,0.00004332531,0.0001674332,0.0007909243,0.01172959,0.0001247383,0.01277846,0.004594482,0.07146344,0.0003432473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953089,0.001519921,0.00006998242,0.002671217,0.0001408564,0.0001810757,0.0000518898,0.000005277574,0.00005085003],"genre_scores_gemma":[0.9956834,0.0001489654,0.003583938,0.000110025,0.0003116856,0.000006001161,0.000007475469,0.000001267506,0.000147238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.892174,"threshold_uncertainty_score":0.4853654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04387467597996801,"score_gpt":0.2064416844426832,"score_spread":0.1625670084627152,"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."}}