{"id":"W1997340927","doi":"10.1577/m06-042.1","title":"Dynamics of a Recovering Lake Trout Population in Eastern Wisconsin Waters of Lake Superior, 1980–2001","year":2007,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State of Wisconsin; Wisconsin Sea Grant Institute, University of Wisconsin; National Oceanic and Atmospheric Administration; NOAA Sea Grant; Ministry of Natural Resources; Wisconsin Department of Natural Resources","keywords":"Trout; Salvelinus; Stocking; Petromyzon; Fishery; Overexploitation; Population; Fishing; Abundance (ecology); Biology; Lamprey; Ecology; Environmental science; Fish <Actinopterygii>; 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":[0.0003749664,0.0001457822,0.0001302418,0.0006078662,0.0004927804,0.0004762509,0.0002233152,0.0001776757,0.0008351161],"category_scores_gemma":[0.0005542838,0.0001333208,0.0001342198,0.000559271,0.0003542806,0.0003913082,0.0004233039,0.0001564865,0.0001300546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048081,"about_ca_system_score_gemma":0.0005223438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07654709,"about_ca_topic_score_gemma":0.1959593,"domain_scores_codex":[0.9998947,0.00001400291,0.00001087569,0.00002673646,0.00002584178,0.00002775291],"domain_scores_gemma":[0.9995573,0.00003530011,0.0002075463,0.00002042084,0.00009423342,0.00008513767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000899143,0.0000231069,0.9930716,0.00001039712,0.00002632748,0.00007738386,0.0006672026,0.0001968693,0.001973765,0.00003272763,0.0002559015,0.003574715],"study_design_scores_gemma":[0.000002580695,0.00003961627,0.9984238,0.000004938755,0.00001344043,0.00003951093,0.000407598,0.0004103412,0.0001607544,0.000009480109,0.0004848664,0.000003011857],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996953,0.00002350808,0.00001915342,0.0000124889,5.777845e-7,0.000001519869,0.0001169343,0.000003284072,0.0001272352],"genre_scores_gemma":[0.9993479,0.0000301844,0.00006739623,0.000009301198,0.000001760783,0.000005364558,0.0002559728,9.152557e-7,0.0002812749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07654709,"threshold_uncertainty_score":0.1522031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007545937344332558,"score_gpt":0.2068022549620342,"score_spread":0.1992563176177016,"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."}}