{"id":"W2557901534","doi":"10.1080/00028487.2016.1245215","title":"Status of the Shortnose Sturgeon Population in the Savannah River, Georgia","year":2016,"lang":"en","type":"article","venue":"Transactions of the American Fisheries Society","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; U.S. Army Corps of Engineers","keywords":"Overfishing; Acipenser; Endangered species; Fishery; Population; Juvenile; Geography; Lake sturgeon; Range (aeronautics); Sturgeon; Abundance (ecology); Habitat; Ecology; Biology; Fish <Actinopterygii>; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004267858,0.0001356509,0.0001064336,0.0006465199,0.000264384,0.000310445,0.00030076,0.0001865099,0.0006519942],"category_scores_gemma":[0.0006824694,0.0001077152,0.0001968724,0.0003282211,0.0002959881,0.0002127759,0.0003971491,0.0001476249,0.0001347298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084272,"about_ca_system_score_gemma":0.0008695542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1083553,"about_ca_topic_score_gemma":0.3303537,"domain_scores_codex":[0.9998621,0.00003503718,0.00001071845,0.00003782621,0.0000269933,0.00002734837],"domain_scores_gemma":[0.9996636,0.00005219748,0.0001126922,0.00001843824,0.00008639987,0.00006663825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000225159,0.00001502539,0.9953791,0.00001167766,0.00002062301,0.00006981352,0.000280667,0.0004379339,0.000527044,0.00009672122,0.0002573782,0.002881644],"study_design_scores_gemma":[0.000001575999,0.00002379954,0.997716,0.00001113011,0.000007353226,0.00004376817,0.0005225317,0.001275212,0.00004323928,0.00003610755,0.000316028,0.000003320699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993525,0.00003354544,0.00003389596,0.00003482656,0.000001328864,0.000002344259,0.0001526744,0.000004066838,0.0003847697],"genre_scores_gemma":[0.999566,0.00002503117,0.00005530085,0.00001180549,8.194813e-7,0.000002902209,0.0001860431,9.330253e-7,0.0001512332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1083553,"threshold_uncertainty_score":0.2154491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044183386843816,"score_gpt":0.2223952613979768,"score_spread":0.2119534275295386,"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."}}