{"id":"W2164690994","doi":"10.1111/j.1462-2920.2011.02518.x","title":"Omics for understanding microbial functional dynamics","year":2011,"lang":"en","type":"letter","venue":"Environmental Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Lawrence Berkeley National Laboratory; Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"National laboratory; Library science; Environmental ethics; Biology; Engineering; Computer science; Engineering physics; Philosophy","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":[0.004456951,0.0008566084,0.001082976,0.0007349791,0.0009272035,0.002145217,0.001227616,0.008600235,0.006413643],"category_scores_gemma":[0.008894886,0.0003316145,0.0009420181,0.0007512211,0.003580474,0.003672612,0.002110291,0.01925459,0.007411256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988608,"about_ca_system_score_gemma":0.0008110003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005074767,"about_ca_topic_score_gemma":0.0005471624,"domain_scores_codex":[0.9979253,0.0008050947,0.000228593,0.0002691388,0.0006536294,0.0001182796],"domain_scores_gemma":[0.9937952,0.003906405,0.0003893808,0.0007265155,0.000766521,0.000415993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003194457,0.00009470959,0.001357512,0.001230874,0.0001203359,0.002986829,0.0002435083,0.0004870708,0.007030716,0.08214197,0.6642474,0.2397396],"study_design_scores_gemma":[0.00005439864,0.00007207226,0.0008364481,0.0003835247,0.00002759851,0.003819359,0.00009373935,0.0007621367,0.001291747,0.09403181,0.8985807,0.00004648155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001280089,0.1640527,0.01288048,0.7556294,0.05349099,0.00007231654,0.0002683867,0.0002627046,0.01206297],"genre_scores_gemma":[0.02406217,0.1992603,0.02416579,0.5871332,0.1442178,0.0003073073,0.0003203103,0.0001298345,0.02040327],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.008600235,"threshold_uncertainty_score":0.0235709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182629063934156,"score_gpt":0.1935276038338859,"score_spread":0.1617013131945443,"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."}}