{"id":"W4221011674","doi":"10.1139/cjfas-2021-0126","title":"Balancing prey availability and predator consumption: a multispecies stock assessment for Lake Ontario","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Fisheries and Aquatic Sciences","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Energy, Northern Development and Mines","funders":"","keywords":"Alewife; Trophic level; Predation; Fishery; Chinook wind; Oncorhynchus; Stocking; Biology; Predator; Ecology; Trout; Apex predator; Population; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006600897,0.0004137217,0.000223309,0.0008748586,0.001197938,0.0007072125,0.0006987203,0.0003707888,0.001026019],"category_scores_gemma":[0.001331832,0.0002764693,0.000530684,0.00109367,0.0002749379,0.0006219963,0.0006185489,0.000170885,0.0001248761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01472391,"about_ca_system_score_gemma":0.009047421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9584107,"about_ca_topic_score_gemma":0.9866748,"domain_scores_codex":[0.9998071,0.00001870644,0.00001582591,0.00002897569,0.00008766297,0.00004167731],"domain_scores_gemma":[0.9992343,0.00007399197,0.0001500349,0.00003161917,0.0004044684,0.0001054766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001271319,0.00006701673,0.9682436,0.00004917223,0.0001631679,0.000227665,0.0005796925,0.01292277,0.001937182,0.0003142349,0.000880675,0.01448773],"study_design_scores_gemma":[0.00001786759,0.00005561476,0.9347821,0.0000183866,0.00008889486,0.00005245112,0.0006849653,0.06245964,0.0003532126,0.0001601649,0.001300701,0.00002587696],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978815,0.00005880396,0.0004523801,0.00006369215,0.000001401536,0.00002748278,0.0007370975,0.000008083936,0.0007695128],"genre_scores_gemma":[0.9963504,0.00008428725,0.001233862,0.00001517697,0.000001462535,0.00002144882,0.0009549495,0.000004918498,0.001333549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9584107,"threshold_uncertainty_score":0.1068299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.024669468749073,"score_gpt":0.2348556737053406,"score_spread":0.2101862049562676,"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."}}