{"id":"W3046303573","doi":"10.1016/j.funbio.2020.07.007","title":"Low genetic differentiation between apotheciate Usnea florida and sorediate Usnea subfloridana (Parmeliaceae, Ascomycota) based on microsatellite data","year":2020,"lang":"en","type":"article","venue":"Fungal Biology","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Swiss Federal Institute for Forest, Snow and Landscape Research; Česká Zemědělská Univerzita v Praze; Eesti Teadusagentuur; Natural History Museum; European Commission; Tartu Ülikool; Department of Health and Social Care; University of South Alabama; Eidgenössische Technische Hochschule Zürich; Innovation Saskatchewan; Eastern Washington University","keywords":"Biology; Parmeliaceae; Taxon; Microsatellite; Evolutionary biology; Genus; Ecology; Ascomycota; Genetics","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":[0.0002209041,0.0003134598,0.0004645129,0.00002563899,0.0002217595,0.00007548033,0.0006553525,0.0003206372,0.0003647717],"category_scores_gemma":[0.0001478871,0.0001450124,0.00008165743,0.0002785785,0.0001508332,0.0001014232,0.0003381931,0.0002970019,0.0002263156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000229731,"about_ca_system_score_gemma":0.00001924907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001063075,"about_ca_topic_score_gemma":0.0001922956,"domain_scores_codex":[0.9977089,0.0002857162,0.0004005386,0.0009154604,0.0001290666,0.0005603445],"domain_scores_gemma":[0.9987177,0.0005551486,0.0001713176,0.0002156896,0.00004776345,0.0002923858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001947537,0.0000672538,0.8012372,0.00002458528,0.00005515523,0.000009831048,0.00006016413,0.00001112651,0.162295,0.0001232714,0.0005109724,0.03541077],"study_design_scores_gemma":[0.0006019069,0.001201913,0.9690202,0.00001157469,0.00006612978,0.000003132721,0.00002402319,0.003896132,0.008279824,0.0002533221,0.01621566,0.0004261847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933431,0.0002555769,0.00008566279,0.003578485,0.0004495028,0.0003312682,0.001621629,0.000107054,0.0002277646],"genre_scores_gemma":[0.9935067,0.0001341608,0.0001923105,0.002172047,0.001585654,0.00001420463,0.002359075,0.000004499973,0.00003134092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.167783,"threshold_uncertainty_score":0.5913435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04414765118410902,"score_gpt":0.2312416483757757,"score_spread":0.1870939971916667,"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."}}