{"id":"W1702336354","doi":"","title":"Organic carbon processing in inland waters : potential feedback between browning and climate","year":2012,"lang":"en","type":"article","venue":"Lund University Publications (Lund University)","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Browning; Environmental science; Climate change; Total organic carbon; Carbon fibers; Carbon cycle; Oceanography; Ecosystem; Environmental chemistry; Ecology; Geology; Chemistry; Biology; Computer science; Food science","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":[0.0002394353,0.0001386595,0.0001633583,0.0004313187,0.0005262481,0.00007242455,0.000294979,0.0001015976,0.00005059137],"category_scores_gemma":[0.000009909915,0.0001634753,0.00004469579,0.001320311,0.0001767322,0.001173799,0.0004076333,0.0001742695,0.00002504494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004381454,"about_ca_system_score_gemma":0.00002006805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009770833,"about_ca_topic_score_gemma":0.0000351927,"domain_scores_codex":[0.9988322,0.0001236793,0.0001143181,0.0003164006,0.0001732955,0.0004401126],"domain_scores_gemma":[0.9994297,0.00002414912,0.00008987498,0.00020543,0.0000203371,0.0002305145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001335659,0.00008067691,0.9938897,0.00001646035,0.00002292327,0.000006444527,0.001431093,0.00008531093,0.001372265,0.002215932,0.00004723242,0.0008186272],"study_design_scores_gemma":[0.0008813061,0.00002334212,0.6876575,0.00002851518,0.0002337816,0.000005230758,0.005354459,0.0004715388,0.0002550516,0.0000286507,0.304633,0.0004276249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9060283,0.0000113536,0.0003515125,0.0005621064,0.00003415808,0.00008071843,0.000009671716,0.00007221902,0.09284992],"genre_scores_gemma":[0.9634165,0.00003120876,0.0004140624,0.000007918897,0.00004897356,8.614307e-8,0.00003101882,0.000009263716,0.03604103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3062322,"threshold_uncertainty_score":0.666633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01243984349035809,"score_gpt":0.1918666712110587,"score_spread":0.1794268277207006,"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."}}