{"id":"W7120337103","doi":"","title":"Integrando dados de fluxos de metano no solo e da diversidade da comunidade microbiana em resposta à mudança no uso do solo em florestas tropicais e temperadas.","year":2021,"lang":"en","type":"dissertation","venue":"Digital Library of Theses and Dissertations  (Universidade de São Paulo)","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Edaphic; Abiotic component; Context (archaeology); Temperate climate; Climate change; Amazon rainforest; Metagenomics; Biotic component","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001059462,0.0006248326,0.0007644338,0.0001747366,0.000542847,0.001322506,0.0009024646,0.000541681,0.0007177741],"category_scores_gemma":[0.0002333794,0.0004001535,0.0006038887,0.0008055101,0.0001451791,0.001410574,0.0001946645,0.0005186824,0.00003631076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001029236,"about_ca_system_score_gemma":0.0002772238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004372415,"about_ca_topic_score_gemma":0.002391801,"domain_scores_codex":[0.9974937,0.0002137804,0.0005089572,0.000718169,0.0003578767,0.0007075326],"domain_scores_gemma":[0.9980556,0.0006027662,0.0003849259,0.0002782873,0.0002225359,0.0004559025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.0159139,0.004143788,0.153339,0.002152585,0.005281564,0.002327051,0.09826634,0.0001052458,0.588322,0.01666559,0.01145792,0.102025],"study_design_scores_gemma":[0.003139229,0.001624513,0.358035,0.001429838,0.001325321,0.0001906952,0.5937822,0.002764494,0.0238128,0.00339137,0.007304808,0.003199661],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887769,0.0007882298,0.000003311034,0.0002807216,0.0001701021,0.000395445,0.002406247,0.0001474546,0.007031635],"genre_scores_gemma":[0.9770913,0.0004158082,0.0005498431,0.000206762,0.00009905855,0.00001700448,0.0124415,0.00002509373,0.009153638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5645092,"threshold_uncertainty_score":0.999845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008832153362137286,"score_gpt":0.2066344109444231,"score_spread":0.1978022575822859,"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."}}