{"id":"W2112608755","doi":"10.1007/s10750-008-9469-y","title":"Natural lake level fluctuation and associated concordance with water quality and aquatic communities within small lakes of the Laurentian Great Lakes region","year":2008,"lang":"en","type":"article","venue":"Hydrobiologia","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Biota; Macrophyte; Water quality; Species richness; Periphyton; Ecology; Environmental science; Invertebrate; Water level; Aquatic ecosystem; Hydrology (agriculture); Geography; Biology; Biomass (ecology); Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002452618,0.0001094209,0.0001631846,0.00001303596,0.0003686985,0.000006523479,0.0001162141,0.00005535697,0.00004024775],"category_scores_gemma":[0.00004398063,0.00005718712,0.00001650314,0.00005623708,0.001251868,0.0000847961,0.0001956346,0.0001137736,0.000004045641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001796925,"about_ca_system_score_gemma":0.000002699307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000352958,"about_ca_topic_score_gemma":0.1930689,"domain_scores_codex":[0.9993042,0.0002032826,0.0001561186,0.0001324425,0.00006251939,0.0001414507],"domain_scores_gemma":[0.9996254,0.00009300253,0.0001206023,0.0001415796,0.000006586972,0.00001281126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002809214,0.00002286597,0.995048,0.00001087146,0.00004322448,0.000001516967,0.003412991,0.00002995033,0.000729387,0.00003227476,0.0006038288,0.00003698464],"study_design_scores_gemma":[0.000393564,0.00008686499,0.9975817,0.00002093246,0.00002473114,0.000007889395,0.000656229,0.0002753128,0.0005282933,0.000242789,0.00007871515,0.0001030411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986905,0.00003207728,0.00003733792,0.0004914902,0.0000576915,0.0001862175,0.000006044301,0.00002263714,0.0004759294],"genre_scores_gemma":[0.9985026,0.00003726731,0.0001198047,0.0003422549,0.000003322124,0.0000114022,0.00003707869,0.000003919458,0.000942406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.192716,"threshold_uncertainty_score":0.8216555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0414108550029399,"score_gpt":0.2206944290419522,"score_spread":0.1792835740390123,"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."}}