{"id":"W2164361226","doi":"10.1080/14634980802711943","title":"Development of ecological indicators for the U.S. Great Lakes coastal region – A summary of applications in Lake Huron","year":2009,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"U.S. Environmental Protection Agency","keywords":"Wetland; Ecology; Environmental science; Estuary; Bioindicator; Shore; Geography; Ecosystem; Population; Fishery; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003150844,0.000746072,0.0005077314,0.003757235,0.0005940452,0.001468853,0.0005341837,0.0002696529,0.0009200002],"category_scores_gemma":[0.004414978,0.0002743097,0.0004759632,0.004828608,0.0002314969,0.0009613685,0.001305489,0.0005163458,0.0001741208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558396,"about_ca_system_score_gemma":0.002473332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06035687,"about_ca_topic_score_gemma":0.1157193,"domain_scores_codex":[0.9992048,0.0002720122,0.000122597,0.0001067076,0.0002304042,0.00006351816],"domain_scores_gemma":[0.996884,0.0004433399,0.0006631938,0.0001423204,0.001525545,0.0003415117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000125431,0.0001080211,0.8201371,0.0004537841,0.0001710512,0.0001622572,0.0009527642,0.005795022,0.003393548,0.0008063077,0.006239714,0.161655],"study_design_scores_gemma":[0.00001650077,0.0002171896,0.9637503,0.0001258889,0.00006675154,0.00007225179,0.001246805,0.02026652,0.001867254,0.000405458,0.01192583,0.00003936572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8976966,0.00544389,0.05888217,0.002223876,0.000168707,0.00152932,0.01513028,0.001209678,0.0177156],"genre_scores_gemma":[0.8331631,0.002949084,0.1471898,0.0002252363,0.00009921059,0.001255756,0.01222199,0.0001120284,0.002783737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06035687,"threshold_uncertainty_score":0.1200111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0163107598274235,"score_gpt":0.2486548911897308,"score_spread":0.2323441313623073,"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."}}