{"id":"W4309157470","doi":"10.21203/rs.3.rs-2231697/v1","title":"Genetic Diversity and Local Adaption of Alfalfa Populations (Medicago sativa L.) under Long-Term Grazing","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Alliance de recherche numérique du Canada; University of Saskatchewan","keywords":"Biology; Medicago sativa; Grazing; Agronomy; Genetic variation; Abiotic component; Genetic diversity; Forage; Medicago; Botany; Ecology; Population; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002823386,0.0001545302,0.0001623242,0.0007979866,0.0003358883,0.0003230414,0.0001776735,0.0001635562,0.0004800532],"category_scores_gemma":[0.0002907005,0.00008687328,0.0001679765,0.0006729112,0.0002159072,0.0000962008,0.0001884692,0.0001490433,0.00007968927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000555772,"about_ca_system_score_gemma":0.0002001686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02673947,"about_ca_topic_score_gemma":0.07149134,"domain_scores_codex":[0.9998379,0.00002438912,0.00001192936,0.00006176751,0.00003513753,0.00002880702],"domain_scores_gemma":[0.9997495,0.00003735206,0.00007241259,0.00002089938,0.0000607615,0.00005904267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003780931,0.00004073712,0.8782789,0.00001878871,0.0001973716,0.0002436224,0.001149431,0.0002220167,0.1135634,0.00006511034,0.00008060798,0.005762002],"study_design_scores_gemma":[0.00000140346,0.00001574236,0.9995255,0.000001222678,0.00000725297,0.00003414938,0.0001180972,0.00006145395,0.0001585766,0.000004096994,0.00007118389,0.000001240817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997914,0.00002860009,0.00004133641,0.000002224487,3.343574e-7,0.000001047513,0.00006814525,9.805797e-7,0.00006581631],"genre_scores_gemma":[0.999523,0.000019016,0.00007001578,0.000004445589,7.271149e-7,0.000002728849,0.0002528833,9.580971e-7,0.0001261428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02673947,"threshold_uncertainty_score":0.0531677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1561964890709604,"score_gpt":0.3644280260294212,"score_spread":0.2082315369584608,"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."}}