{"id":"W2034833171","doi":"10.1038/ismej.2007.53","title":"Pyrosequencing enumerates and contrasts soil microbial diversity","year":2007,"lang":"en","type":"article","venue":"The ISME Journal","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":1861,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Institute of General Medical Sciences; Ministério da Educação; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; U.S. Department of Agriculture; National Science Foundation","keywords":"Biology; Pyrosequencing; Alphaproteobacteria; Phylum; UniFrac; Operational taxonomic unit; Betaproteobacteria; Ecology; Biodiversity; Bacteroidetes; Soil microbiology; Soil water; Archaea; Species evenness; 16S ribosomal RNA; Species diversity; Bacteria; Actinobacteria; Genetics; Gene","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":[0.001940738,0.0009929773,0.001372928,0.002686539,0.0005615124,0.001106456,0.00068356,0.0009614066,0.000911627],"category_scores_gemma":[0.00350851,0.0006782842,0.001101889,0.002581754,0.0005047118,0.0006389871,0.0008990027,0.00114632,0.001068418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002693666,"about_ca_system_score_gemma":0.0005067369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005369216,"about_ca_topic_score_gemma":0.001675611,"domain_scores_codex":[0.9978718,0.0003420082,0.0001449498,0.0006785708,0.0008511436,0.0001114785],"domain_scores_gemma":[0.9983071,0.0007202487,0.0003129345,0.0002668585,0.0003084524,0.00008435241],"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":[0.0002948052,0.0002663788,0.03758806,0.0004617244,0.0002934498,0.0001752944,0.000526155,0.002044366,0.8995823,0.0009566864,0.0005090454,0.0573019],"study_design_scores_gemma":[0.00005901569,0.002169427,0.2558987,0.0001341206,0.0003406613,0.001421829,0.0005124764,0.03077946,0.6847463,0.006725608,0.01704478,0.0001677071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6607106,0.001840729,0.3203228,0.0001374871,0.0001443774,0.0005821668,0.008474116,0.001363278,0.006424531],"genre_scores_gemma":[0.6157506,0.002498197,0.3656052,0.0003514668,0.0001023701,0.001252255,0.01005389,0.0003107331,0.004075253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002686539,"threshold_uncertainty_score":0.01026374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009145942853921667,"score_gpt":0.2071488055070995,"score_spread":0.1980028626531778,"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."}}