{"id":"W4312714536","doi":"10.14321/aehm.025.02.81","title":"Model development in support of the Lake Ontario Cooperative Science and Monitoring Initiative","year":2022,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eutrophication; Environmental science; Environmental resource management; Water quality; Hydrology (agriculture); Environmental monitoring; Process (computing); Ecology; Computer science; Environmental engineering; Nutrient; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001438847,0.0004525354,0.0004302508,0.0005304266,0.001065375,0.001035834,0.002504199,0.000784445,0.004914977],"category_scores_gemma":[0.00259938,0.0003200333,0.0007185839,0.0009010144,0.0003723371,0.0007937393,0.0008591925,0.0006424907,0.0006390885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005756122,"about_ca_system_score_gemma":0.009711268,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7096261,"about_ca_topic_score_gemma":0.7195408,"domain_scores_codex":[0.9994979,0.0001219849,0.00002687696,0.00007875589,0.0001790671,0.00009538182],"domain_scores_gemma":[0.9986845,0.0002548144,0.00008053856,0.00009722118,0.0007837899,0.00009918087],"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":[0.00006738662,0.00008448325,0.01412975,0.00005217027,0.00004519367,0.0000769481,0.0001074241,0.9566782,0.0007452304,0.004880673,0.01124428,0.01188818],"study_design_scores_gemma":[0.0000259544,0.00001105839,0.001700154,0.000005644948,0.000008874636,0.000004265616,0.0000323965,0.993026,0.0001952061,0.0004252878,0.004555433,0.000009798252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5923637,0.0003299538,0.225938,0.003968871,0.0002907817,0.001256393,0.03524023,0.007813036,0.132799],"genre_scores_gemma":[0.8941545,0.0001675286,0.07784493,0.0001635051,0.00004020284,0.0007927141,0.01425776,0.0004176901,0.01216125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2903739,"threshold_uncertainty_score":0.584168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03755968416713604,"score_gpt":0.262023701525585,"score_spread":0.224464017358449,"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."}}