{"id":"W2913243678","doi":"10.54119/jaas.2018.7213","title":"Gene flow and genetic structure of two of Arkansas’s rarest darter species (Teleostei: Percidae), the Arkansas Darter, Etheostoma cragini, and the Least Darter, E. microperca","year":2018,"lang":"en","type":"article","venue":"Journal of the Arkansas Academy of Science","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Indiana Department of Natural Resources; Michigan Department of Natural Resources; Ministry of Natural Resources; University of Nebraska-Lincoln","keywords":"Etheostoma; Fragmentation (computing); Gene flow; Habitat fragmentation; Population; Ecology; Biology; Geography; Percidae; Population fragmentation; Habitat; Fishery; Genetic variation; Gene; Perch; Fish <Actinopterygii>; Genetics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001325253,0.0001268994,0.0001422535,0.0008922227,0.0002675302,0.0003024303,0.0001404733,0.0001691718,0.0006866015],"category_scores_gemma":[0.0003963143,0.000122565,0.0001363704,0.0004497667,0.0002990681,0.0001849924,0.0002749643,0.0002194034,0.00009573362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002810345,"about_ca_system_score_gemma":0.0001547002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006231097,"about_ca_topic_score_gemma":0.01640579,"domain_scores_codex":[0.9998604,0.00002122838,0.00001244934,0.00005855607,0.00002149852,0.00002589783],"domain_scores_gemma":[0.9995922,0.00007258073,0.0002065169,0.00001857242,0.00004716302,0.00006296753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001682483,0.00005430553,0.9598602,0.00001750205,0.00004901746,0.0001495899,0.001301369,0.0001518766,0.03064367,0.00008080781,0.00003393191,0.007489426],"study_design_scores_gemma":[0.000002161273,0.00002594468,0.9992276,0.000001524141,0.00000775974,0.00009164129,0.000216569,0.0001302578,0.0001955154,0.000009674741,0.00008919783,0.000002070096],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998863,0.00001466091,0.00002589487,0.000002099032,2.165123e-7,5.530691e-7,0.00001669255,4.930337e-7,0.00005318981],"genre_scores_gemma":[0.9996142,0.00001474172,0.0001217913,0.000003430448,9.137638e-7,0.000003027369,0.0001404894,5.842347e-7,0.000100691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006231097,"threshold_uncertainty_score":0.01238966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008668757005088143,"score_gpt":0.2254723394141455,"score_spread":0.2168035824090573,"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."}}