{"id":"W2062073799","doi":"10.1016/j.jglr.2015.03.012","title":"Potential effects of climate change on the growth of fishes from different thermal guilds in Lakes Michigan and Huron","year":2015,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Geological Survey","keywords":"Perch; Predation; Climate change; Environmental science; Ecosystem; Bioenergetics; Fishery; Coregonus clupeaformis; Ecology; Effects of global warming; Guild; Thermoregulation; Fish <Actinopterygii>; Biology; Global warming; Habitat","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":[0.0002423208,0.0001768419,0.0001466742,0.0004196315,0.0006555279,0.0005666812,0.0002556201,0.0003596783,0.001844593],"category_scores_gemma":[0.0006639485,0.0001901276,0.0002513559,0.0003612076,0.0004922096,0.0003571342,0.0006857733,0.0002906728,0.0001491614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001162192,"about_ca_system_score_gemma":0.000416031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0717241,"about_ca_topic_score_gemma":0.2517722,"domain_scores_codex":[0.999863,0.00004059809,0.000007736534,0.00002753331,0.00001866486,0.00004236101],"domain_scores_gemma":[0.9995137,0.0001033599,0.0001336222,0.000015207,0.00007693853,0.000157164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003091586,0.00002778726,0.9948572,0.000009583486,0.00004987797,0.00006701434,0.000570637,0.0002245111,0.002445132,0.00005135826,0.0001275279,0.00126013],"study_design_scores_gemma":[0.000001183155,0.00001043249,0.99946,8.329348e-7,0.000004027704,0.000007364732,0.0002932862,0.0001296335,0.00004766835,0.0000068924,0.0000374948,0.000001022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996704,0.00001782265,0.000009170422,0.00003883303,0.000001172972,6.837042e-7,0.00007200862,6.417541e-7,0.0001892245],"genre_scores_gemma":[0.9996473,0.00002015459,0.00001817519,0.00001570243,0.000002546563,0.000003319327,0.0001108308,0.000001016258,0.0001810148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0717241,"threshold_uncertainty_score":0.1426133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0405466931401932,"score_gpt":0.2839826581599942,"score_spread":0.243435965019801,"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."}}