{"id":"W4408483604","doi":"10.5194/egusphere-egu25-20728","title":"Linking thermal stability and organic chemistry with surface soil organic matter stability-A study across ecozones","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Lakehead University; Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Organic matter; Thermal stability; Stability (learning theory); Surface (topology); Environmental science; Soil science; Environmental chemistry; Chemistry; Atmospheric sciences; Earth science; Geology; Organic chemistry; Computer science; Mathematics","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":[0.0003449311,0.0004197157,0.0004104409,0.001334708,0.0006079844,0.0007699658,0.0002995158,0.0003440395,0.0004732485],"category_scores_gemma":[0.0005252811,0.0002039687,0.0004561695,0.001596845,0.0006493268,0.0004789006,0.0004172955,0.0002267937,0.000119459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008645357,"about_ca_system_score_gemma":0.0004885375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1043984,"about_ca_topic_score_gemma":0.1485104,"domain_scores_codex":[0.9997315,0.00001533965,0.00001579077,0.0001205598,0.00006455156,0.00005229829],"domain_scores_gemma":[0.9994859,0.000071185,0.0001696506,0.00003927971,0.0001855548,0.00004842064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002586183,0.0000852296,0.8025464,0.0001426016,0.0002412181,0.0002264684,0.0009677976,0.0004116671,0.1814993,0.00005955844,0.00005780093,0.01350341],"study_design_scores_gemma":[0.000001016705,0.00005205217,0.9971707,0.000002587611,0.00002004493,0.00004173142,0.0001844168,0.000124954,0.002205865,0.00001058756,0.0001821188,0.000003957068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990423,0.0002109602,0.0002375271,0.000005959773,0.000001094387,0.00001197182,0.0001864803,0.000003787929,0.0002999372],"genre_scores_gemma":[0.9987522,0.0002351244,0.0004722824,0.00001153299,0.000002403023,0.00001562715,0.0003037115,0.000004236941,0.0002027217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1043984,"threshold_uncertainty_score":0.2075815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631170388479489,"score_gpt":0.2286326746465526,"score_spread":0.2123209707617577,"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."}}