{"id":"W4294323180","doi":"10.31951/2658-3518-2022-a-4-1506","title":"Paleoclimatic conditions of a Late Pleistocene mega-lake in Kamchatka","year":2022,"lang":"en","type":"article","venue":"Limnology and Freshwater Biology","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Pollen; Pleistocene; Geology; Physical geography; Peninsula; Vegetation (pathology); Paleontology; Early Pleistocene; Mega-; Archaeology; Geography; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117455,0.0001572322,0.0001860048,0.001196866,0.0007056664,0.000648225,0.0001624547,0.0002057748,0.00170896],"category_scores_gemma":[0.0002915184,0.0002148232,0.0001132077,0.001253151,0.0004428369,0.000570773,0.0006312621,0.0001991529,0.0001568641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006062955,"about_ca_system_score_gemma":0.0004707127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01691047,"about_ca_topic_score_gemma":0.04200164,"domain_scores_codex":[0.9999584,0.000005322884,0.000004891675,0.00001241565,0.000006752547,0.00001224069],"domain_scores_gemma":[0.9999063,0.00001312923,0.00002991285,0.000005116573,0.00002656952,0.00001899859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002392883,0.00005998324,0.958271,0.00008400204,0.0001344188,0.001104267,0.004654166,0.0005938729,0.02258397,0.0003376124,0.0001915337,0.01174581],"study_design_scores_gemma":[0.000004458405,0.000008456145,0.9989147,0.000005783389,0.00001009907,0.00007102575,0.0004471324,0.0001391966,0.000165625,0.00003007018,0.0002009519,0.000002493442],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996244,0.00004600185,0.00002546965,0.00001153946,6.720503e-7,0.000001235702,0.0000619956,0.000001795669,0.000226896],"genre_scores_gemma":[0.9997318,0.00003977993,0.00003607814,0.000004132844,0.00000136706,0.000003396584,0.00007697587,0.000001540724,0.0001048814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01691047,"threshold_uncertainty_score":0.03362405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676026816531228,"score_gpt":0.2404681553948108,"score_spread":0.2237078872294985,"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."}}