{"id":"W2967909152","doi":"10.1016/j.cell.2019.06.033","title":"A Reverse Ecology Approach Based on a Biological Definition of Microbial Populations","year":2019,"lang":"en","type":"article","venue":"Cell","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":236,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Simons Foundation; National Science Foundation","keywords":"Biology; Ecology; Adaptation (eye); Microbial ecology; Gene flow; Host (biology); Evolutionary biology; Genome; Microbiome; Molecular ecology; Evolutionary ecology; Metagenomics; Local adaptation; Gene; Computational biology; Genetics; Genetic variation; Bacteria; Population","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001169094,0.0007726086,0.000820392,0.001647481,0.000680484,0.00222039,0.001418482,0.0009792458,0.002404084],"category_scores_gemma":[0.002414975,0.0004465788,0.001042568,0.0007412085,0.002148241,0.00247639,0.00267148,0.003613217,0.001516445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007379625,"about_ca_system_score_gemma":0.0009446118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008974471,"about_ca_topic_score_gemma":0.001238321,"domain_scores_codex":[0.9988602,0.0004863918,0.00006638061,0.0002848811,0.0002218286,0.00008032452],"domain_scores_gemma":[0.9989321,0.0003476178,0.0001012387,0.000316703,0.0002261803,0.000076194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000100113,0.0001672414,0.006113912,0.0003999238,0.0001233808,0.0005704753,0.0009696716,0.004298025,0.1725013,0.7087163,0.002315673,0.1037241],"study_design_scores_gemma":[0.00007676495,0.0005272485,0.01037944,0.0001927571,0.0002006983,0.004965591,0.001493849,0.07553837,0.103518,0.6708438,0.1320787,0.0001846134],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01224086,0.0005087776,0.9765366,0.0006464637,0.0003753889,0.0001088713,0.00009046588,0.0002030577,0.009289473],"genre_scores_gemma":[0.1956544,0.001267459,0.780542,0.002085959,0.0003131288,0.0008352246,0.0003073463,0.0003771926,0.01861736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002404084,"threshold_uncertainty_score":0.008042514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181673596220951,"score_gpt":0.2221492707894697,"score_spread":0.1903325348272602,"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."}}