{"id":"W4411711752","doi":"10.1016/j.jglr.2025.102623","title":"Evaluation of a recovering lake trout population in Lake Champlain using close-kin mark-recapture and genetic strain assignment","year":2025,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Great Lakes Fishery Commission","keywords":"Mark and recapture; Trout; Fishery; Strain (injury); Population; Geography; Biology; Ecology; Fish <Actinopterygii>; Demography; Sociology; Anatomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001647195,0.0003293542,0.0003197735,0.00108355,0.001629407,0.0005696369,0.001066494,0.0004694309,0.001109684],"category_scores_gemma":[0.002454957,0.0001932699,0.0002360257,0.0005207853,0.0008365672,0.0005495062,0.0005468816,0.0003666111,0.0002321224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001425064,"about_ca_system_score_gemma":0.001543617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06848742,"about_ca_topic_score_gemma":0.1566339,"domain_scores_codex":[0.9993181,0.000214168,0.00004448322,0.0001726298,0.0001443445,0.000106243],"domain_scores_gemma":[0.9983702,0.0003401983,0.0002718882,0.0001491698,0.0005722393,0.0002963751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007878169,0.0005205685,0.9609643,0.00001956343,0.00005828375,0.0003583404,0.001503879,0.001250035,0.02115856,0.000146286,0.000174355,0.01305795],"study_design_scores_gemma":[0.0000239864,0.0004450651,0.9925227,0.000004755882,0.00003122199,0.0001579092,0.001123501,0.003639031,0.001799855,0.00003470105,0.0002039534,0.00001327356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995624,0.000007548284,0.0001804506,0.00001268987,8.233716e-7,0.0000213154,0.0000575376,0.000006583227,0.0001506517],"genre_scores_gemma":[0.9979562,0.00001023617,0.001145012,0.00002228024,0.000001775813,0.00003858585,0.0003727315,0.000005458971,0.0004476706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06848742,"threshold_uncertainty_score":0.1361775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06361908177799748,"score_gpt":0.3575692347193318,"score_spread":0.2939501529413343,"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."}}