{"id":"W2136351152","doi":"10.1371/journal.pone.0051360","title":"Development of an Ultra-Dense Genetic Map of the Sunflower Genome Based on Single-Feature Polymorphisms","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Sunflower and Safflower Cultivation","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Genome Canada; Genome British Columbia; Georgia Research Alliance; Institut National de la Recherche Agronomique; National Science Foundation","keywords":"Biology; Genetics; Sunflower; Genome; Population; Helianthus annuus; Quantitative trait locus; Gene mapping; Candidate gene; Computational biology; Gene; Chromosome; Agronomy","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":[0.0001538039,0.0001188309,0.0001637097,0.00001370688,0.00009567135,0.000009434385,0.0002291168,0.0000874903,0.0003524933],"category_scores_gemma":[0.00003364046,0.00004175967,0.0000646081,0.0001806663,0.00004708607,0.00007087224,0.00001665013,0.0000830716,0.00001537115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002711491,"about_ca_system_score_gemma":0.000011447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001132071,"about_ca_topic_score_gemma":0.00003875103,"domain_scores_codex":[0.9989417,0.00006478022,0.0002099503,0.0001520306,0.0004133974,0.0002181409],"domain_scores_gemma":[0.9995517,0.00006652933,0.000109447,0.0001141898,0.00007744321,0.00008069744],"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":[0.00004158057,0.001819031,0.01109389,0.00001195374,0.00002207789,2.176661e-7,0.0004008527,0.000005563026,0.9842767,0.000006243384,0.00001274054,0.00230913],"study_design_scores_gemma":[0.00009238351,0.0001163024,0.4788928,0.00004219825,0.00001939809,2.926238e-7,0.00006121335,0.00002100165,0.5202805,0.000006481345,0.0003800848,0.00008734927],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987566,0.00008597596,0.000003527253,0.0004231244,0.0000777572,0.0002072265,0.00002256894,0.0000206949,0.0004024737],"genre_scores_gemma":[0.9967394,9.599264e-7,0.002689923,0.0001982585,0.0001384932,0.000009187167,0.0000369374,0.000001799345,0.0001849763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4677989,"threshold_uncertainty_score":0.3859554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04559036897989868,"score_gpt":0.1950706507924723,"score_spread":0.1494802818125737,"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."}}