{"id":"W3186083033","doi":"10.1101/2021.07.21.453257","title":"The Amazon River microbiome, a story of humic carbon","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; National Geographic Society; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Mitacs; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado do Amazonas","keywords":"Bacterioplankton; Amazon rainforest; Amazonian; Dissolved organic carbon; Water quality; Gammaproteobacteria; Ecology; Biology; Environmental science; Bacteria; Nutrient; 16S ribosomal RNA; Phytoplankton","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":[0.001098405,0.0003202977,0.0003362311,0.0005562474,0.001123197,0.003069338,0.000329158,0.0009671187,0.001508071],"category_scores_gemma":[0.001977067,0.0002496697,0.0002040797,0.000711882,0.001423616,0.003763148,0.001559684,0.001693771,0.0003456822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007587966,"about_ca_system_score_gemma":0.0007657972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004024043,"about_ca_topic_score_gemma":0.006538922,"domain_scores_codex":[0.9997161,0.00004952295,0.00001107587,0.0001081221,0.00006736566,0.00004779931],"domain_scores_gemma":[0.9991841,0.0001597211,0.00009308534,0.0001129474,0.0001376358,0.0003124799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001693984,0.0001671096,0.1445717,0.002126332,0.0005184892,0.003203781,0.01609541,0.002012948,0.2553634,0.06753638,0.1102045,0.396506],"study_design_scores_gemma":[0.00004865433,0.0002655257,0.2729686,0.0008609304,0.0002404273,0.002169363,0.01270982,0.002680045,0.01805266,0.06675202,0.6231156,0.0001364599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6818554,0.1329446,0.01130138,0.15084,0.003136027,0.00003296705,0.008448081,0.0003677526,0.01107391],"genre_scores_gemma":[0.9425148,0.03130191,0.00695041,0.009443573,0.00105511,0.00002041926,0.002048331,0.0001625091,0.006502867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004024043,"threshold_uncertainty_score":0.008001208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00823852731569644,"score_gpt":0.1943033516753938,"score_spread":0.1860648243596973,"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."}}