{"id":"W4391558682","doi":"10.1139/er-2023-0100","title":"Toward the development of an ecosystem model ensemble to support adaptive management in Lake Ontario","year":2024,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of Toronto","funders":"Environment and Climate Change Canada; Government of Canada; U.S. Environmental Protection Agency","keywords":"Environmental science; Benthic zone; Ecosystem; Water quality; Ecology; Food web; Ecosystem services; Environmental resource management; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008488888,0.0001873757,0.0002544129,0.00003811021,0.0000686756,0.00001294466,0.0003180965,0.00005563098,0.006342075],"category_scores_gemma":[0.000001970653,0.0001286968,0.00007005184,0.0001109731,0.00006124919,0.0001730433,0.0002747193,0.0001508896,0.00808435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007407211,"about_ca_system_score_gemma":0.00002596121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005900247,"about_ca_topic_score_gemma":0.1307084,"domain_scores_codex":[0.9984336,0.00009356702,0.0005574438,0.0003973029,0.0002509817,0.0002670307],"domain_scores_gemma":[0.9995394,0.00001473507,0.00006402781,0.0002930126,1.81998e-7,0.00008866956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007442522,0.001074618,0.02182349,0.0001248477,0.00007985056,0.0001835314,0.06124453,0.002942326,0.00434551,0.0002119083,0.008590234,0.8993047],"study_design_scores_gemma":[0.0006522784,0.0006728594,0.1553798,0.0003414925,0.0002028088,0.00003938836,0.00251095,0.01627452,0.005344463,0.0006441859,0.8169081,0.001029158],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845388,0.0001337984,0.002643017,0.0000899842,0.0001456598,0.001554991,0.00001073876,0.00001555138,0.01086745],"genre_scores_gemma":[0.9771896,0.00007457907,0.01624141,0.0002603469,0.000007968897,0.0003383884,0.00002207532,0.00001607166,0.005849569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8982756,"threshold_uncertainty_score":0.9945663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05477655253234865,"score_gpt":0.2646278804645217,"score_spread":0.209851327932173,"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."}}