{"id":"W7106301645","doi":"10.5683/sp3/ziwlfp","title":"Permanent land use and microbial contributions shape soil carbon stabilization in lake floodplains","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université du Québec à Montréal; Natural Resources Canada; Université du Québec à Trois-Rivières","funders":"","keywords":"Floodplain; Topsoil; Soil carbon; Land use; Ecosystem; Vegetation (pathology); Hydrology (agriculture); Swamp","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000380397,0.0005278951,0.0003619592,0.001421088,0.0006331861,0.0008174517,0.0007531242,0.0003719348,0.003248677],"category_scores_gemma":[0.000806051,0.0001880425,0.0004658039,0.002942075,0.0002740065,0.0003215444,0.0006152013,0.0002876017,0.0008997533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002753748,"about_ca_system_score_gemma":0.002463026,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8392462,"about_ca_topic_score_gemma":0.9034725,"domain_scores_codex":[0.9998071,0.00002514649,0.00001453248,0.00006459192,0.00002779209,0.00006095701],"domain_scores_gemma":[0.9995339,0.00004973475,0.0001110903,0.00004889765,0.0001674327,0.00008902881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004069176,0.00007308291,0.90634,0.000527921,0.0003840648,0.0002365295,0.0005183607,0.002123212,0.00169904,0.0004032272,0.07472065,0.01256698],"study_design_scores_gemma":[0.00005355227,0.00001320778,0.9794077,0.00006304093,0.00004980133,0.00005062724,0.0003234103,0.001291486,0.0002047591,0.00006754642,0.01845014,0.00002473856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3316722,0.0008042037,0.0002134098,0.000266426,0.00001853512,0.00003692555,0.664195,0.0002227425,0.002570548],"genre_scores_gemma":[0.4420485,0.0003020157,0.0007984203,0.0001195539,0.00001652977,0.0001458578,0.554584,0.00004311441,0.001942035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8392462,"threshold_uncertainty_score":0.3234011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294834146247703,"score_gpt":0.2553088973561478,"score_spread":0.2423605558936707,"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."}}