{"id":"W2899475100","doi":"10.1101/459461","title":"Metabolite composition of sinking particles reflects a changing microbial community and differential metabolite degradation","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; University of Alberta; Canadian Institute for Advanced Research; University of British Columbia","funders":"Office of Science; Canadian Institute for Advanced Research; Natural Sciences and Engineering Research Council of Canada; Woods Hole Oceanographic Institution; Gordon and Betty Moore Foundation; U.S. Department of Energy; National Science Foundation","keywords":"Dimethylsulfoniopropionate; Environmental chemistry; Biogeochemical cycle; Osmolyte; Metabolite; Oceanography; Particle (ecology); Water column; Chemistry; Biology; Ecology; Geology; Phytoplankton; Nutrient; Botany","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":[0.00009710865,0.0003485558,0.0002366657,0.0004289923,0.0002808971,0.0006376557,0.0001179955,0.0002378955,0.0009732165],"category_scores_gemma":[0.0001648199,0.0002092507,0.0002288808,0.0003680829,0.0002003632,0.0003506274,0.0002360892,0.0003058687,0.0002065483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002180817,"about_ca_system_score_gemma":0.0001489166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003395781,"about_ca_topic_score_gemma":0.004636266,"domain_scores_codex":[0.9999138,0.000006578643,0.000004935368,0.00003965405,0.00002133351,0.0000137553],"domain_scores_gemma":[0.9998457,0.00002275089,0.00004840182,0.0000111189,0.00004666123,0.00002531673],"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":[0.0001295925,0.00001205301,0.03105767,0.00002135908,0.00002113513,0.00004028554,0.00005495903,0.0000487687,0.9670241,0.00002550617,0.00001923523,0.001545507],"study_design_scores_gemma":[0.000007719385,0.0001962976,0.7847657,0.00000787069,0.00004322972,0.0001335088,0.0003200482,0.00102303,0.2126402,0.00009647202,0.0007554624,0.00001064472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978156,0.0001498301,0.0009533729,0.00001709262,0.000006141652,0.000008876357,0.00062731,0.00001427199,0.0004073916],"genre_scores_gemma":[0.9963338,0.000168649,0.001724723,0.00004585266,0.000005981532,0.00001460366,0.0009189635,0.00001882927,0.0007686917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003395781,"threshold_uncertainty_score":0.006752074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818461027102265,"score_gpt":0.2272771534745116,"score_spread":0.209092543203489,"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."}}