{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001967934,0.0003856113,0.0002991728,0.0002255722,0.0004023467,0.0008774971,0.0001793772,0.0004686441,0.002240754],"category_scores_gemma":[0.0003236382,0.0003432868,0.0003367324,0.0002863235,0.0003176341,0.0007611484,0.000387599,0.0002672893,0.0003530473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007744051,"about_ca_system_score_gemma":0.0004782394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01793396,"about_ca_topic_score_gemma":0.02037887,"domain_scores_codex":[0.999917,0.00001397882,0.000005181555,0.00002716432,0.00001251506,0.0000241599],"domain_scores_gemma":[0.9997593,0.00009247874,0.00003974503,0.00001517754,0.00005259861,0.00004089089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001760762,0.0002165711,0.2600577,0.0004194239,0.000341119,0.0006714985,0.0004187788,0.01378297,0.6840774,0.0007768762,0.001427709,0.03604915],"study_design_scores_gemma":[0.00006087185,0.0002073904,0.9362147,0.00002264907,0.000113209,0.0001336913,0.0005969705,0.01904853,0.04004502,0.001274183,0.00224679,0.00003605005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969393,0.0003963121,0.0005996882,0.0002146084,0.00002303109,0.000007377505,0.0002106072,0.00002659532,0.001582553],"genre_scores_gemma":[0.997855,0.0003887649,0.0003156777,0.00004445191,0.000013454,0.000005311778,0.0001760495,0.00001794763,0.001183372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01793396,"threshold_uncertainty_score":0.03565913,"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."}}