{"id":"W4390500493","doi":"10.12775/bgeo-2023-0008","title":"Thermal regimes of lakes in the southern and eastern part of the Baltic Sea catchment area during the period of climate change","year":2023,"lang":"en","type":"article","venue":"Bulletin of Geography Physical Geography Series","topic":"Integrated Water Resources Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Climate change; Period (music); Physical geography; Climatology; Baltic sea; Drainage basin; Hydrology (agriculture); Surface water; Geography; Oceanography; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004248789,0.000236136,0.0003475138,0.0001224958,0.0001438974,0.00002106215,0.0007145922,0.00004261451,0.00007379533],"category_scores_gemma":[0.00001037565,0.0001198944,0.0003742328,0.0008917538,0.001866695,0.0000451441,0.000520982,0.0001617285,0.000007955145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004821871,"about_ca_system_score_gemma":0.000002232582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001801894,"about_ca_topic_score_gemma":0.0000752402,"domain_scores_codex":[0.998085,0.0002442061,0.0004022117,0.0002840189,0.0006063991,0.0003781313],"domain_scores_gemma":[0.9989079,0.00008651692,0.0003595758,0.0005907004,0.00002383799,0.00003147351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001560405,0.0002685516,0.9816988,0.0002563792,0.0001100144,0.000002811693,0.01432491,0.0004637642,0.001291053,0.0001800164,0.00004700528,0.001200624],"study_design_scores_gemma":[0.0003185579,0.0002072722,0.9821947,0.0001797826,0.00007774775,0.00000128178,0.01072614,0.00006711303,0.0034747,0.0002164603,0.002387336,0.0001489457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957331,0.0001512414,2.415113e-7,0.001529259,0.00003729431,0.0006314029,0.0001081255,0.00001858964,0.001790735],"genre_scores_gemma":[0.9995532,0.0001684084,0.00001235718,0.00005497301,0.00002468718,0.0001140099,0.000005108924,0.00001571416,0.00005155702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003820074,"threshold_uncertainty_score":0.6877916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007675886385269764,"score_gpt":0.1880693727474732,"score_spread":0.1803934863622035,"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."}}