{"id":"W4210961009","doi":"10.1111/rec.13648","title":"Empirical test of increasing genetic variation via inter‐population crossing for native plant restoration in variable environments","year":2022,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Biodiversity; Genetic diversity; Population; Ecology; Forb; Local adaptation; Range (aeronautics); Population size; Restoration ecology; Grassland; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003706394,0.00009587721,0.0001350659,0.0001271926,0.0002746287,0.00001808426,0.00009360461,0.0001318055,0.00004694784],"category_scores_gemma":[0.0002409453,0.0001183901,0.00003282825,0.0001374197,0.00004042681,0.0000143238,0.00008436939,0.00008369861,8.897734e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001536628,"about_ca_system_score_gemma":0.00009276085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001065866,"about_ca_topic_score_gemma":0.0002776654,"domain_scores_codex":[0.9988596,0.0002834616,0.0003328883,0.000257501,0.0001301413,0.000136334],"domain_scores_gemma":[0.9994328,0.00008096192,0.0002751754,0.0001410596,0.00004191441,0.0000280903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005837934,0.0001839534,0.6614591,0.00002508157,0.00002591455,0.000001253465,0.0007772233,0.08792374,0.2479995,0.0001434182,0.0003336163,0.0005434489],"study_design_scores_gemma":[0.001006543,0.0007406738,0.9748228,0.000004664913,0.00002186574,0.00001678106,0.0001136608,0.01176817,0.003643723,0.0007663105,0.006943906,0.0001509246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9591464,0.00003049986,0.03995916,0.0000803976,0.000262204,0.0003667822,0.0001193271,0.000004587745,0.00003066596],"genre_scores_gemma":[0.9922897,0.000003620153,0.005640019,0.0001203059,0.00007578415,0.00005299122,0.001729451,0.00001030778,0.00007782668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3133637,"threshold_uncertainty_score":0.4827808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612162795466886,"score_gpt":0.2612758084297228,"score_spread":0.2451541804750539,"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."}}