{"id":"W4387084404","doi":"10.31219/osf.io/pn98b","title":"Adaptive introgression from local cultivars is a driver of agricultural adaptation in Argentinian weedy rice","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas; National Science Foundation","keywords":"Weedy rice; Introgression; Biology; Germplasm; Cultivar; Upland rice; Hybrid; Agronomy; Weed; Gene pool; Oryza sativa; Genetic diversity; Gene; Population; Genetics","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":[0.0002216631,0.0004296801,0.0003373114,0.0006348554,0.0004039586,0.0004368883,0.0002077759,0.0002924925,0.001043877],"category_scores_gemma":[0.0003228314,0.000176211,0.0002268205,0.0006767952,0.0002301128,0.0001636609,0.0004020715,0.0004134846,0.0002067556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003739883,"about_ca_system_score_gemma":0.0002035125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005035765,"about_ca_topic_score_gemma":0.007433163,"domain_scores_codex":[0.9998086,0.00001708231,0.00001206887,0.00009005534,0.00003729959,0.00003496782],"domain_scores_gemma":[0.9997957,0.00003297196,0.00007696567,0.00002325028,0.00003264973,0.00003836109],"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":[0.0007456764,0.00009683704,0.1366313,0.0001822945,0.0001187343,0.0008366637,0.00115589,0.0003845042,0.8368074,0.0002421223,0.0003336193,0.02246487],"study_design_scores_gemma":[0.00001341363,0.00006061605,0.9931912,0.00001098948,0.0000455754,0.0002668465,0.0002224079,0.0005726225,0.003541676,0.00006305019,0.001998566,0.00001301636],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980909,0.000154014,0.0005477534,0.00003548696,0.000005843391,0.000008524954,0.0002519376,0.00002633593,0.0008791151],"genre_scores_gemma":[0.9974267,0.0002355611,0.0006669331,0.00004694895,0.00001019999,0.00002123591,0.0007357007,0.00003672075,0.0008199776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005035765,"threshold_uncertainty_score":0.01001287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08553408915893151,"score_gpt":0.2879558866317932,"score_spread":0.2024217974728617,"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."}}