{"id":"W1866026777","doi":"10.1007/s10021-015-9918-1","title":"Metabolism, Gas Exchange, and Carbon Spiraling in Rivers","year":2015,"lang":"en","type":"article","venue":"Ecosystems","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":192,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Primary production; Ecosystem respiration; Environmental science; Tributary; Baseflow; Hydrology (agriculture); Ecosystem; Carbon cycle; Autotroph; Biogeochemical cycle; Drainage basin; Ecology; Streamflow; Geology; Biology; Geography","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":[0.0003422463,0.00006738277,0.0001217529,0.00003379956,0.00003476744,0.000007950659,0.00006524342,0.0000318162,0.00008596301],"category_scores_gemma":[0.00002194725,0.00006258181,0.000009339297,0.00009265396,0.0000405897,0.00006783983,0.0001720466,0.00004271418,0.000100942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006269992,"about_ca_system_score_gemma":0.000001602194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00151948,"about_ca_topic_score_gemma":0.02268224,"domain_scores_codex":[0.9994544,0.00004040978,0.00009799261,0.00016287,0.00008410264,0.0001602506],"domain_scores_gemma":[0.9998249,0.00001170648,0.00003358031,0.00008146536,0.000002030775,0.00004624978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008860851,0.00002083318,0.9806458,0.00002377138,0.00001530076,0.00002551817,0.001703879,0.0002248489,0.00003486448,0.0001289766,0.01640801,0.0007593733],"study_design_scores_gemma":[0.002139183,0.0001058516,0.7715831,0.00003537623,0.00004175708,0.00001156784,0.002207162,0.005091618,0.0002032242,0.00179265,0.2163539,0.0004346053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9216964,0.0002168761,0.000004715243,0.0003199788,0.0003223619,0.0001514466,7.413299e-7,0.00002131735,0.07726616],"genre_scores_gemma":[0.9991324,0.00004431428,0.00005643655,0.0001486614,0.00003715494,0.0000223709,7.482681e-7,0.000004507688,0.0005534331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2090626,"threshold_uncertainty_score":0.9951513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789428320971491,"score_gpt":0.2122876130959213,"score_spread":0.1943933298862063,"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."}}