{"id":"W2179716611","doi":"10.4141/cjss2010-055","title":"Estimation of decay constants for crop residues measured over 15 years in conventional and reduced tillage systems in a coarse-textured soil in southern Ontario","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"Ministry of Agriculture, Food and Rural Affairs; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Crop residue; Secale; Agronomy; Tillage; Plough; Conventional tillage; Chemistry; Residue (chemistry); Soil water; Crop; Decomposition; Crop rotation; Environmental science; Agriculture; Biology; Soil science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001097963,0.00007274192,0.0001856238,0.0001534528,0.00004748205,0.00004288974,0.0002035865,0.00006491017,0.00002654908],"category_scores_gemma":[0.0001299666,0.00004025101,0.0000353953,0.0004258553,0.0003123183,0.0001657931,0.000009621971,0.0001043252,4.830233e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000243171,"about_ca_system_score_gemma":0.0007588511,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4837037,"about_ca_topic_score_gemma":0.9850727,"domain_scores_codex":[0.9989945,0.00004632019,0.0003550835,0.0001394994,0.0002224854,0.00024213],"domain_scores_gemma":[0.9994027,0.00004486633,0.0001927107,0.000032201,0.00012322,0.0002043238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001453071,0.00005884613,0.9521227,0.00001937815,0.00000901049,0.00007659847,0.009830232,0.0009687673,0.02857748,0.0007056009,0.0000364585,0.007449619],"study_design_scores_gemma":[0.0004909371,0.0001043918,0.9913392,0.0001597043,0.0000040675,0.00002941768,0.001529656,0.005160264,0.0005547175,0.000527302,0.00001044931,0.00008988529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992445,0.0002151155,9.652118e-7,0.00003218661,0.0001491215,0.0001244435,0.00002653618,0.000001388989,0.0002058094],"genre_scores_gemma":[0.9998507,0.000003443245,0.00006843754,0.00001864085,0.00001340597,0.000002593992,0.000001586118,8.459245e-7,0.00004028731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5013691,"threshold_uncertainty_score":0.5197344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03148925605541313,"score_gpt":0.2224438113309818,"score_spread":0.1909545552755686,"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."}}