{"id":"W2032014563","doi":"10.4141/cjss07022","title":"Factors influencing mineralizable carbon in a landscape with variable topography","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"Agriculture and Agri-Food Canada","keywords":"Mineralization (soil science); Silt; Total organic carbon; Spatial variability; Soil science; Mineralogy; Environmental chemistry; Chemistry; Geology; Soil water; Geomorphology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.0002347789,0.0001184115,0.0001994947,0.0007903087,0.0005109424,0.0006286207,0.0002349064,0.0001833641,0.0005098427],"category_scores_gemma":[0.000866916,0.0001137649,0.0001255735,0.001468818,0.0005384184,0.0002358959,0.000316813,0.0001251536,0.00004626648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314443,"about_ca_system_score_gemma":0.0006419533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1561792,"about_ca_topic_score_gemma":0.3449044,"domain_scores_codex":[0.9997935,0.00003126798,0.0000122024,0.00007018576,0.00004444971,0.00004850793],"domain_scores_gemma":[0.999552,0.0001089759,0.0001587887,0.00002613262,0.00009234033,0.00006178961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008424437,0.00002351214,0.9729909,0.00002646406,0.0000845949,0.0003207945,0.0002863458,0.001179521,0.01968674,0.00009646569,0.00005978004,0.00516065],"study_design_scores_gemma":[0.000001003676,0.000007760608,0.999451,6.008465e-7,0.000004541442,0.00003002707,0.00006963902,0.0003000193,0.00008337093,0.00001125489,0.00003951523,0.000001340266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997267,0.00003327932,0.00005859035,0.000006332515,2.624482e-7,0.000001908753,0.00005374533,0.000001987987,0.0001171094],"genre_scores_gemma":[0.9997948,0.00001685481,0.0000781783,0.000002159091,4.248636e-7,9.398983e-7,0.0000627454,9.375975e-7,0.0000430181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1561792,"threshold_uncertainty_score":0.3105404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519513397994072,"score_gpt":0.1934943157210887,"score_spread":0.1782991817411479,"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."}}