{"id":"W4415501721","doi":"10.5194/egusphere-2025-4991","title":"Technical note: Further adjustments to the Rock-Eval® thermal analysis for soil organic and inorganic carbon quantification to avoid post-hoc corrections","year":2025,"lang":"","type":"article","venue":"","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nemzeti Kutatási, Fejlesztési és Innovaciós Alap; Agriculture and Agri-Food Canada; Horizon 2020; IFP Energies Nouvelles; Agence Nationale de la Recherche; European Commission","keywords":"Pyrolysis; Decomposition; Carbon fibers; Total organic carbon; Elemental analysis; Thermal decomposition; Soil carbon; Thermal analysis; Carbon cycle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005023209,0.0003964127,0.0004505745,0.0006755557,0.0005427286,0.0002783305,0.0003728626,0.0002699286,0.0002088935],"category_scores_gemma":[0.0003277125,0.0003190548,0.0001739139,0.003345182,0.00002380174,0.0001073081,0.0001825901,0.0003685429,0.00006148823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002985991,"about_ca_system_score_gemma":0.0001228705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003147669,"about_ca_topic_score_gemma":0.003398453,"domain_scores_codex":[0.9978713,0.00007137442,0.0005968008,0.0006865572,0.0002360601,0.000537917],"domain_scores_gemma":[0.9985815,0.0002395643,0.00007910625,0.000635332,0.0002714348,0.0001930362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002487458,0.0001879234,0.001945915,0.0003186019,0.0008900827,8.339024e-7,0.003842512,0.2730302,0.6847815,0.000255564,0.001022617,0.03347551],"study_design_scores_gemma":[0.001237908,0.0006353195,0.03787228,0.0003450103,0.005074729,0.000007332597,0.003415295,0.8960172,0.05115427,0.00007470146,0.002842318,0.001323644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6288003,0.0009381497,0.360308,0.006424153,0.000962084,0.001130866,0.00003715189,0.0002713734,0.001127949],"genre_scores_gemma":[0.9919611,0.00005850854,0.00114724,0.0006402281,0.0001783468,0.0001649203,0.00002540807,0.00006294689,0.005761346],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6336272,"threshold_uncertainty_score":0.9999261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133163908942451,"score_gpt":0.2585931481937262,"score_spread":0.2472615091043017,"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."}}