{"id":"W2021600858","doi":"10.2136/sssaj2007.0045","title":"Comparison of Solid‐State Carbon‐13 Nuclear Magnetic Resonance and Organic Matter Biomarkers for Assessing Soil Organic Matter Degradation","year":2008,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cutin; Chemistry; Organic matter; Soil organic matter; Suberin; Lignin; Environmental chemistry; Biomarker; Degradation (telecommunications); Soil water; Organic chemistry; Biochemistry; Geology; Soil science","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":[0.0006336294,0.0005713021,0.0003050873,0.001372926,0.0004406646,0.0009178639,0.0004243088,0.0005497902,0.000481406],"category_scores_gemma":[0.0008180529,0.0003165661,0.0001918236,0.0008691541,0.0005064517,0.0003207273,0.0002619065,0.0002893851,0.0001982738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433063,"about_ca_system_score_gemma":0.002137246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1292996,"about_ca_topic_score_gemma":0.3080756,"domain_scores_codex":[0.9993319,0.00008406481,0.00003082475,0.0001141741,0.0003278033,0.0001111776],"domain_scores_gemma":[0.9990321,0.0001073922,0.0001085012,0.00002738582,0.0006121281,0.0001124263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003310538,0.00006062048,0.02170635,0.0001411463,0.00007959564,0.00005523703,0.0001350098,0.000371175,0.9647549,0.00005285048,0.0000520892,0.01225982],"study_design_scores_gemma":[0.00003301715,0.0009294939,0.3262998,0.00003982169,0.0002485781,0.0004027016,0.0008262743,0.006234462,0.6616887,0.00009714337,0.003119565,0.00008037217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918042,0.00148284,0.004741887,0.0000606325,0.00001463966,0.00006733448,0.0003135033,0.00003816656,0.001476727],"genre_scores_gemma":[0.9732011,0.00240722,0.02094369,0.00008873128,0.0000111823,0.00006265134,0.0005867538,0.00002175188,0.00267689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1292996,"threshold_uncertainty_score":0.2570939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01398964231440147,"score_gpt":0.2576951113597763,"score_spread":0.2437054690453748,"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."}}