{"id":"W2018365902","doi":"10.1080/00028487.2014.968293","title":"Deciphering Hatchery Stock Influences on Wild Populations of Vermont Lake Trout","year":2015,"lang":"en","type":"article","venue":"Transactions of the American Fisheries Society","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Hatchery; Stocking; Trout; Biology; Salvelinus; Introgression; Population; Ecology; Fishery; Overexploitation; Gene flow; Genetic diversity; Genetic variation; Fish <Actinopterygii>; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001254661,0.0001282109,0.0001972819,0.0009436872,0.0004298316,0.0004862575,0.0003300108,0.000149433,0.0008755908],"category_scores_gemma":[0.002054444,0.0001186662,0.0001326503,0.000716112,0.0004996046,0.0003316139,0.0003999767,0.0001692491,0.00006246329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216011,"about_ca_system_score_gemma":0.0005033289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06270439,"about_ca_topic_score_gemma":0.197523,"domain_scores_codex":[0.9995037,0.0002126312,0.000029295,0.0001199166,0.00007266219,0.00006170755],"domain_scores_gemma":[0.9984766,0.000462685,0.0005844972,0.0001043324,0.0002346428,0.0001372358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001246387,0.00001466511,0.9886625,0.000006007568,0.00006377887,0.00007679221,0.0004968223,0.0002121187,0.005423091,0.00006194052,0.00006130143,0.004796269],"study_design_scores_gemma":[8.531074e-7,0.00001697595,0.9991499,0.000002040181,0.000007450511,0.00001074011,0.0001844842,0.0002819609,0.0002518739,0.00001064152,0.00008177874,0.000001204787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997079,0.000034439,0.00007626052,0.0000104743,8.668704e-7,0.000001189761,0.00004211453,0.000001507655,0.0001252348],"genre_scores_gemma":[0.9997044,0.00001553676,0.0001020569,0.00000796838,0.000001331364,0.000001993072,0.00005390367,0.000001361349,0.0001114636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06270439,"threshold_uncertainty_score":0.1246788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03300692929062139,"score_gpt":0.2496254346211939,"score_spread":0.2166185053305725,"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."}}