{"id":"W4385984066","doi":"10.1007/s00027-023-00991-7","title":"Spatiotemporal changes in sedimentary chironomid assemblages across a gradient of lake water pH and metal contamination from the Sudbury (Ontario, Canada) metal-smelting region","year":2023,"lang":"en","type":"article","venue":"Aquatic Sciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Environment; Ministry of the Environment, Conservation and Parks; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chironomidae; Ecology; Trophic level; Smelting; Paleolimnology; Environmental science; Habitat; Context (archaeology); Sediment; Littoral zone; Biodiversity; Benthic zone; Geology; Climate change; Biology; Chemistry; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001644451,0.0001812376,0.0002799754,0.001026145,0.001580272,0.0009220936,0.0005344707,0.0003050385,0.001764088],"category_scores_gemma":[0.0005206522,0.0002636244,0.0002152103,0.002242776,0.0007558315,0.0002450969,0.0006673205,0.000274936,0.0002237504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007279381,"about_ca_system_score_gemma":0.006006659,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9764251,"about_ca_topic_score_gemma":0.9924124,"domain_scores_codex":[0.9997862,0.00001384754,0.000009578847,0.00005303179,0.00004670724,0.00009071791],"domain_scores_gemma":[0.9993081,0.00003515929,0.0001288357,0.00001534659,0.0003588837,0.0001536056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002357723,0.00001975998,0.9856614,0.00004329229,0.00006817228,0.0001316249,0.003142738,0.0001416634,0.005912047,0.00006926737,0.0006523334,0.003921957],"study_design_scores_gemma":[9.22114e-7,0.000004162134,0.9991697,0.000002695178,0.000003634937,0.000007864759,0.0005918941,0.00002237312,0.00003826292,0.000001987232,0.0001548922,0.000001749102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980812,0.0001014359,0.00003660135,0.00004145827,0.000002720649,0.00000562703,0.0009924832,0.000003251868,0.0007351559],"genre_scores_gemma":[0.9976538,0.0001070757,0.00007993919,0.00002520734,0.000001741243,0.000006527966,0.0006780732,0.000002388679,0.001445173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02357489,"threshold_uncertainty_score":0.05281585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715141594233734,"score_gpt":0.2572714445891636,"score_spread":0.2201200286468262,"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."}}