{"id":"W2110537934","doi":"10.4319/lo.2003.48.6.2321","title":"Regional comparisons of watershed determinants of dissolved organic carbon in temperate lakes from the Upper Great Lakes region and selected regions globally","year":2003,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":170,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Notre Dame; Natural Sciences and Engineering Research Council of Canada; U.S. Fish and Wildlife Service; McKnight Foundation; U.S. Environmental Protection Agency","keywords":"Wetland; Watershed; Hydrology (agriculture); Temperate climate; Drainage basin; Environmental science; Vegetation (pathology); Dissolved organic carbon; Tundra; Ecology; Geology; Geography; Ecosystem","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001189435,0.000134463,0.0003059256,0.0001085139,0.00008921722,0.00001306097,0.00012478,0.0001207358,0.00003336549],"category_scores_gemma":[0.00002794969,0.0000886284,0.0000406175,0.0004338354,0.0003016713,0.00006390119,0.00001510949,0.0001187373,5.013375e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.646105e-7,"about_ca_system_score_gemma":0.00002866738,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002114804,"about_ca_topic_score_gemma":0.06467887,"domain_scores_codex":[0.9989875,0.0002103286,0.0002814542,0.0002253487,0.00008647057,0.000208916],"domain_scores_gemma":[0.999464,0.000159766,0.0001206615,0.000161675,0.00004364518,0.0000503005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009325155,0.00001912459,0.9988359,0.00001712282,0.00003528963,0.000006494046,0.0003544435,0.000002444174,0.0001459455,0.0001358056,0.0001368809,0.000217364],"study_design_scores_gemma":[0.0004721773,0.0001762017,0.9962776,0.00004776749,0.00003272371,0.00004486238,0.0006311639,0.0004963922,0.0003497616,0.0008934471,0.0004698192,0.0001080932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975392,0.001494137,0.000003805607,0.0002916097,0.00006063759,0.0001279238,0.00003020125,0.00001245571,0.0004400891],"genre_scores_gemma":[0.9992262,0.0005829308,0.00003763851,0.00006299204,0.00001131757,8.671936e-7,0.00004486127,0.000002769748,0.00003042399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06256407,"threshold_uncertainty_score":0.9523883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184694974159766,"score_gpt":0.1930911844953247,"score_spread":0.1812442347537271,"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."}}