{"id":"W2401911887","doi":"10.1038/ismej.2015.215","title":"Selective consumption and metabolic allocation of terrestrial and algal carbon determine allochthony in lake bacteria","year":2015,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa; National Science Foundation","keywords":"Bacterioplankton; Biomass (ecology); Biology; Algae; Carbon cycle; Dissolved organic carbon; Ecology; Carbon dioxide; Respiration; Productivity; Carbon fibers; Environmental chemistry; Heterotroph; Substrate (aquarium); Phytoplankton; Ecosystem; Bacteria; Nutrient; Botany; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002166558,0.0002009047,0.0001775952,0.0003930892,0.0005406801,0.0006708449,0.0001549794,0.0002515818,0.0003876169],"category_scores_gemma":[0.0004736831,0.000195757,0.000113715,0.0003949839,0.0004188416,0.0004852196,0.0007100987,0.0001585568,0.0001221827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003561423,"about_ca_system_score_gemma":0.0003990447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003370623,"about_ca_topic_score_gemma":0.008345429,"domain_scores_codex":[0.9998159,0.00003200278,0.00001408988,0.00005902446,0.00003748794,0.00004151816],"domain_scores_gemma":[0.9998023,0.00004592473,0.00006919768,0.00001699628,0.00003421926,0.00003136359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002670054,0.00001957542,0.1145258,0.0001113465,0.00003768817,0.00003560663,0.0006939461,0.0005559477,0.8726702,0.0003792062,0.00003107135,0.01067255],"study_design_scores_gemma":[0.000009576746,0.0002690094,0.8701425,0.00002167218,0.00004410028,0.0001566504,0.0007761761,0.003870367,0.1229796,0.0006426717,0.001062115,0.00002562406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989734,0.000216773,0.00038612,0.00001786604,7.236492e-7,0.000001845397,0.00005727448,0.000005678452,0.0003404105],"genre_scores_gemma":[0.9989784,0.0001533287,0.0005752111,0.00001870081,0.000001819308,0.00000546412,0.00007798904,0.000005682913,0.0001834758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003370623,"threshold_uncertainty_score":0.006702006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697479087414361,"score_gpt":0.2522874234971465,"score_spread":0.2253126326230029,"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."}}