{"id":"W4394934827","doi":"10.1029/2023ef004387","title":"Global Lake Health in the Anthropocene: Societal Implications and Treatment Strategies","year":2024,"lang":"en","type":"article","venue":"Earth s Future","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; York University; Queen's University; Ministry of the Environment, Conservation and Parks; McGill University","funders":"Agencia Estatal de Investigación; Vetenskapsrådet; Global Lake Ecological Observatory Network","keywords":"Human health; Anthropocene; Ecosystem health; Multidisciplinary approach; Environmental science; Ecosystem; Environmental planning; Environmental resource management; Ecosystem services; Environmental protection; Environmental health; Ecology; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001019513,0.00007493518,0.00007407202,0.000004951469,0.0001108241,0.00008544257,0.00006258828,0.00003341298,0.0002134294],"category_scores_gemma":[6.194132e-7,0.00004441208,0.00002583577,0.0001603796,0.00005772536,0.00008614166,0.0000124795,0.00005202803,0.00004831832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004801068,"about_ca_system_score_gemma":0.00003813314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003142104,"about_ca_topic_score_gemma":0.04113366,"domain_scores_codex":[0.9995171,0.00003482474,0.00009294441,0.0001529473,0.00006894198,0.0001332144],"domain_scores_gemma":[0.9998122,0.00001723734,0.00001691217,0.0001189009,9.147693e-7,0.0000338261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000927464,0.000237665,0.4665305,0.000101206,0.00006139229,0.00002840969,0.01215552,0.001351592,0.00004424014,0.1472473,0.03151735,0.3407155],"study_design_scores_gemma":[0.00009005109,0.000093287,0.7035238,0.0000122133,0.000004180094,0.00004371552,0.001644932,0.0009825038,5.437265e-7,0.002585055,0.290948,0.00007172947],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9143369,0.005062493,0.001004929,0.04436772,0.0005841765,0.0007486166,0.0006223486,0.00009051319,0.03318232],"genre_scores_gemma":[0.9986857,0.0004715667,0.0002845775,0.000278707,0.0001438405,0.00001314605,0.0000296345,0.000003424135,0.00008937598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3406438,"threshold_uncertainty_score":0.9763632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009298455825898156,"score_gpt":0.2752918001866502,"score_spread":0.2659933443607521,"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."}}