{"id":"W2737793436","doi":"","title":"МИКРОБИОЛОГИЧЕСКАЯ ТРАНСФОРМАЦИЯ УГЛЕРОДА СН4 и СО2 В КРИОГЕННЫХ ПОЧВАХ ТУНДРОВЫХ И ЛЕСНЫХ ЭКОСИСТЕМ СИБИРИ","year":2017,"lang":"ru","type":"article","venue":"Журнал \"Лесоведение\"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008401009,0.0003833791,0.000470084,0.002032855,0.001646815,0.002752962,0.0005330787,0.00088391,0.02695586],"category_scores_gemma":[0.001117709,0.0006947003,0.0005789787,0.002165586,0.001680778,0.001440435,0.001029228,0.001145933,0.006931272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177456,"about_ca_system_score_gemma":0.001642521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004402802,"about_ca_topic_score_gemma":0.005938859,"domain_scores_codex":[0.999181,0.0001178444,0.00004215219,0.0001578409,0.0003931357,0.000107977],"domain_scores_gemma":[0.999244,0.0001881893,0.0001213173,0.0001049275,0.0002639001,0.00007779247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009681256,0.0003070931,0.01361779,0.001777267,0.0001215239,0.002252932,0.002265124,0.006310658,0.2846385,0.1348598,0.01205954,0.5408216],"study_design_scores_gemma":[0.00009158841,0.0003708015,0.02765053,0.0004398387,0.0001930994,0.003410301,0.002545794,0.006042228,0.1975236,0.06213184,0.699299,0.0003013563],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4166265,0.1007701,0.1115108,0.005193417,0.002328673,0.0002418814,0.002616108,0.0006852546,0.3600273],"genre_scores_gemma":[0.8980801,0.0221343,0.0359262,0.0002578123,0.0003624385,0.0002292551,0.0009201544,0.0002895666,0.04180017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02695586,"threshold_uncertainty_score":0.0901764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08935591449216009,"score_gpt":0.2842650391634909,"score_spread":0.1949091246713309,"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."}}