{"id":"W1997162924","doi":"10.1080/02755947.2013.833559","title":"Using Ecopath Modeling to Describe Historical Conditions for a Large, Boreal Lake Ecosystem prior to European Settlement","year":2013,"lang":"en","type":"article","venue":"North American Journal of Fisheries Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Environment and Protected Areas","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Alberta Conservation Association","keywords":"Notropis; Fishery; Context (archaeology); Ecosystem; Perch; Pike; Esox; Fisheries management; Ecology; Geography; Biology; Fish <Actinopterygii>; Fishing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0005565417,0.0005113734,0.0001927881,0.00114132,0.0008801193,0.001420489,0.0008967923,0.0005948441,0.002269648],"category_scores_gemma":[0.001278675,0.0003427091,0.0005414449,0.0009125042,0.0004016169,0.0008467109,0.0004724336,0.0003640337,0.000177121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004998318,"about_ca_system_score_gemma":0.002570702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4832948,"about_ca_topic_score_gemma":0.543385,"domain_scores_codex":[0.9998757,0.00002877094,0.000008860083,0.00004008217,0.00002069301,0.00002585509],"domain_scores_gemma":[0.9995209,0.0001636466,0.00007689815,0.0000416223,0.0001384379,0.00005848318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003628591,0.00003572639,0.04687522,0.00001811853,0.00003304226,0.00008949976,0.0001329613,0.9457767,0.000408993,0.0012631,0.0008426664,0.004487653],"study_design_scores_gemma":[0.00001685088,0.00001940595,0.01384746,0.00001039386,0.00001705359,0.00001826384,0.0001478864,0.9831933,0.0001397578,0.0007133957,0.001857942,0.00001828505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610336,0.00008492114,0.02188534,0.000263937,0.0000234749,0.00008605222,0.003713471,0.0007809798,0.01212822],"genre_scores_gemma":[0.9849305,0.00006475354,0.01183347,0.00003538267,0.000005632411,0.00006633403,0.001442003,0.00006171712,0.001560214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4832948,"threshold_uncertainty_score":0.9609634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054724256442747,"score_gpt":0.230825350904656,"score_spread":0.2102781083402286,"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."}}