{"id":"W2937520086","doi":"10.3354/esr00957","title":"Comparing abundance estimates from closed population mark-recapture models of endangered adult Atlantic sturgeon","year":2019,"lang":"en","type":"article","venue":"Endangered Species Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Navy; U.S. Fish and Wildlife Service; National Marine Fisheries Service; Virginia Marine Resources Commission; Virginia Department of Game and Inland Fisheries","keywords":"Endangered species; Fishery; Mark and recapture; Abundance (ecology); Population; Geography; Acipenser; Abundance estimation; Right whale; Sturgeon; Ecology; Fish <Actinopterygii>; Habitat; Biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005559119,0.0002070268,0.0004215037,0.0001405121,0.0002774399,0.00004650419,0.0005100213,0.0001243476,0.004476351],"category_scores_gemma":[0.0002011808,0.0001908299,0.00008140471,0.0004329726,0.0003637594,0.000370489,0.0007630333,0.0003931193,0.0007162463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002890448,"about_ca_system_score_gemma":0.000008623984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006605164,"about_ca_topic_score_gemma":0.01112515,"domain_scores_codex":[0.9974722,0.0001920006,0.0003470091,0.0005561521,0.0008453664,0.000587266],"domain_scores_gemma":[0.9987136,0.0005272841,0.0001333529,0.0004955116,0.00006204045,0.00006823799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000157254,0.0001213905,0.959844,0.00006250075,0.00008534699,0.000008652901,0.001170156,0.002502142,0.005019675,0.001143849,0.02938833,0.0004967256],"study_design_scores_gemma":[0.0005537763,0.00007955211,0.9778419,0.00006152701,0.00001548644,5.703763e-7,0.0006776061,0.01303797,0.00129,0.00454403,0.001699167,0.0001984615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425535,0.00009671641,0.0001387115,0.0005333298,0.0002231319,0.0006078192,0.00003041919,0.00005709887,0.05575924],"genre_scores_gemma":[0.9937416,0.0001681682,0.001347601,0.00007566903,0.00006211617,0.00003824593,0.0001270136,0.00002288245,0.004416703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05134254,"threshold_uncertainty_score":0.9985076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04694817200342587,"score_gpt":0.2877371474279182,"score_spread":0.2407889754244923,"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."}}