{"id":"W4384557343","doi":"10.1101/2023.07.15.549171","title":"Integrating ecosystem and contaminant models to predict the effects of ecosystem fluxes on contaminant dynamics","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Science Foundation","keywords":"Ecosystem; Trophic level; Environmental science; Abiotic component; Ecology; Spatial heterogeneity; Ecosystem model; Trophic cascade; Alternative stable state; Food web; Primary producers; Nutrient; Biology; Phytoplankton","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007375748,0.0006262076,0.0006072668,0.0006474285,0.0005042081,0.001091752,0.001103166,0.002343767,0.001715478],"category_scores_gemma":[0.002612952,0.0005423354,0.00105587,0.0006894811,0.0007768213,0.001161382,0.001225319,0.001093611,0.0001990535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795453,"about_ca_system_score_gemma":0.001309273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02514725,"about_ca_topic_score_gemma":0.01132816,"domain_scores_codex":[0.9998028,0.00007187709,0.00001256951,0.00003990967,0.00003361901,0.0000393902],"domain_scores_gemma":[0.9988415,0.0007100782,0.0001758164,0.00004608166,0.0001359501,0.00009058095],"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":[0.000006903217,0.00001273776,0.001068421,0.000006273773,0.00000971648,0.00001615468,0.000005772581,0.9972734,0.0003728091,0.0008975472,0.00003093668,0.0002992115],"study_design_scores_gemma":[0.000002056717,0.000005596615,0.0001599549,0.000001273933,0.000002661054,0.000002609966,0.000004432839,0.9992269,0.0000717972,0.0004711378,0.00004954392,0.000002022472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8510767,0.0003593771,0.1380083,0.001088484,0.0000750836,0.00009279318,0.0006313566,0.0002811741,0.008386777],"genre_scores_gemma":[0.9867637,0.0001344446,0.01063997,0.00007911427,0.00001605707,0.00008631964,0.0001408443,0.00003271543,0.002106951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02514725,"threshold_uncertainty_score":0.0500018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008738248162735633,"score_gpt":0.1988123525952824,"score_spread":0.1900741044325467,"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."}}