{"id":"W4408219078","doi":"10.1128/spectrum.01561-24","title":"Linking soil microbial genomic features to forest-to-pasture conversion in the Amazon","year":2025,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canadian Institute for Advanced Research","keywords":"Amazon rainforest; Agroforestry; Pasture; Geography; Environmental science; Biology; Ecology; Forestry","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":[0.0002552156,0.0002675226,0.0002767525,0.0006920284,0.000350317,0.0006456437,0.0001694058,0.0002092447,0.0005719594],"category_scores_gemma":[0.001185412,0.0001517811,0.0002458596,0.0009981371,0.0003077589,0.000297108,0.0005326929,0.0002570773,0.0001062573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003111837,"about_ca_system_score_gemma":0.0003348543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009580704,"about_ca_topic_score_gemma":0.017773,"domain_scores_codex":[0.9997306,0.00003484123,0.00001985124,0.0001030444,0.00004993266,0.00006166119],"domain_scores_gemma":[0.9994679,0.00009579922,0.0002095317,0.00004810073,0.0001131287,0.00006559122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002099241,0.0000484767,0.8079857,0.0002668335,0.0002025617,0.0002967296,0.00184097,0.0002957943,0.170063,0.0002007769,0.0001440652,0.01844512],"study_design_scores_gemma":[0.000002415625,0.00002825233,0.9961405,0.00001625356,0.00004238181,0.0002348765,0.0005859943,0.0002773923,0.001596861,0.00009271564,0.0009763335,0.000005880774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976608,0.0005574912,0.0003517478,0.00003894693,0.000002063037,0.000006133008,0.001067006,0.000009265044,0.0003067304],"genre_scores_gemma":[0.9978327,0.0002631053,0.0004683556,0.00003205382,0.000002609154,0.000006999166,0.001313084,0.000006447515,0.00007468753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009580704,"threshold_uncertainty_score":0.01904988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004159193469773103,"score_gpt":0.1874814407074873,"score_spread":0.1833222472377142,"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."}}