{"id":"W3200345875","doi":"10.1017/qua.2021.54","title":"Holocene regional climate change and formation of southern Ontario's largest swamp inferred from a kettle-lake pollen record","year":2021,"lang":"en","type":"article","venue":"Quaternary Research","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Swamp; Holocene; Wetland; Geology; Peat; Radiocarbon dating; Physical geography; Paleoclimatology; Climate change; Hydrology (agriculture); Ecology; Oceanography; Archaeology; Geography; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005062276,0.00009491941,0.0001735125,0.00005889525,0.0001368166,0.0000318512,0.0001660999,0.0000954166,0.003420513],"category_scores_gemma":[0.00002578837,0.00008292549,0.00003628868,0.0001478606,0.0001539867,0.0002030451,0.0004244404,0.0002184055,0.0002959466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009486701,"about_ca_system_score_gemma":0.00002680295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05990212,"about_ca_topic_score_gemma":0.1526839,"domain_scores_codex":[0.9985375,0.0001964437,0.0002126953,0.0002838495,0.0003793786,0.0003901426],"domain_scores_gemma":[0.999467,0.0001040006,0.00006172754,0.00022841,0.00003028126,0.000108597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001813828,0.0000832665,0.9902505,0.0000114708,0.000008754657,0.0000769535,0.002299519,0.000001530047,0.001408221,0.000009636888,0.001085042,0.00458378],"study_design_scores_gemma":[0.001045888,0.0002581193,0.9831581,0.00005317694,0.00000752167,0.00003916591,0.0005062182,0.002823133,0.0006436275,0.001381262,0.009929385,0.0001544781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955392,0.00008371357,0.0000136692,0.001482869,0.00004737902,0.0001451858,0.0001315642,0.00001195163,0.002544466],"genre_scores_gemma":[0.9972175,0.0004175234,0.0002142821,0.0001145307,0.0000775348,0.00003518938,0.0002189761,0.00001067182,0.00169374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09278177,"threshold_uncertainty_score":0.9974905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083822407140254,"score_gpt":0.3107580093954349,"score_spread":0.2023757686814094,"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."}}