{"id":"W4282018386","doi":"10.1101/2022.06.07.495047","title":"The genomics of linkage drag in sunflower","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Saskatchewan; University of British Columbia","funders":"","keywords":"Biology; Introgression; Sunflower; Helianthus; Population genomics; Genomics; Genetics; Population; Gene; Genome; Agronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003380801,0.0002786349,0.0002217102,0.0006027004,0.0002329943,0.00024492,0.0001695342,0.0002464557,0.0006864315],"category_scores_gemma":[0.0002453286,0.0001249028,0.0003096608,0.0005506529,0.0001437994,0.0001325965,0.0002731648,0.0004151966,0.00008108392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000309453,"about_ca_system_score_gemma":0.0001833075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001823859,"about_ca_topic_score_gemma":0.002932169,"domain_scores_codex":[0.9998596,0.00001711251,0.000007740337,0.00005567253,0.00004131991,0.00001856779],"domain_scores_gemma":[0.9997879,0.0000574649,0.0000875445,0.00001517441,0.0000187434,0.00003317289],"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":[0.0002955957,0.00005803662,0.02913596,0.00007954772,0.0001049208,0.0005068338,0.0002307257,0.001661618,0.9500337,0.0003642834,0.000176329,0.01735252],"study_design_scores_gemma":[0.00004363607,0.0003951584,0.9183439,0.00003095247,0.0001897845,0.001204197,0.0001783359,0.01024355,0.06336313,0.0005930254,0.005370035,0.00004427888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997865,0.0001367907,0.001406936,0.00001335053,0.000004848018,0.000005416443,0.0002930626,0.00003320944,0.0002413027],"genre_scores_gemma":[0.9953467,0.0001669628,0.002426349,0.00005768232,0.00001350175,0.00001481054,0.001325248,0.00003198443,0.0006166488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001823859,"threshold_uncertainty_score":0.003626466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767047734105909,"score_gpt":0.1896682297934336,"score_spread":0.1719977524523746,"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."}}