{"id":"W4380183114","doi":"10.46265/genresj.alfv3636","title":"Characterization of microsatellite markers for the duckweed Spirodela polyrhiza and Lemna minor tested on samples from Europe and the United States of America.","year":2023,"lang":"en","type":"article","venue":"Genetic Resources","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Eidgenössische Technische Hochschule Zürich; National Science Foundation","keywords":"Lemna minor; Lemna; Biology; Botany; Microsatellite; Taxon; Lemna gibba; Aquatic plant; Ecology; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001035374,0.0001132111,0.0001491034,0.0000489117,0.00009629932,0.00002785503,0.0001369198,0.00002147531,0.00003495719],"category_scores_gemma":[0.00003486125,0.00006096099,0.00002704669,0.0003140452,0.0006528789,0.00001597389,0.0001165414,0.000029074,0.000004094372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006852697,"about_ca_system_score_gemma":0.000002632063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002467963,"about_ca_topic_score_gemma":0.00003803601,"domain_scores_codex":[0.9992281,0.00008980143,0.0002134056,0.0001999819,0.0001329045,0.0001358067],"domain_scores_gemma":[0.9990201,0.0005647618,0.0001570275,0.0002161343,0.00001039482,0.00003158169],"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":[0.0008753139,0.00003953862,0.3482856,0.00003239453,0.0001660062,0.000001647876,0.00962888,0.001351168,0.5481045,0.000005263012,0.00008445261,0.09142523],"study_design_scores_gemma":[0.0009034774,0.0001385851,0.9651602,0.00002242902,0.00008046641,0.000001911133,0.0006878785,0.005858018,0.01870851,0.00008030335,0.008278,0.00008019998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984688,0.0001263961,0.00009070196,0.0005300879,0.00002077919,0.0004402851,0.0002870178,0.0000140136,0.0000219385],"genre_scores_gemma":[0.9980472,0.0008603437,0.0005723312,0.00009115226,0.0000115938,0.00002218745,0.0002096412,0.00001523889,0.000170325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6168746,"threshold_uncertainty_score":0.3730838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009756502213630816,"score_gpt":0.197029894350661,"score_spread":0.1872733921370302,"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."}}