{"id":"W6903385529","doi":"10.1139/cjss2013-005","title":"Particulate organic matter and soil mineral nitrogen concentrations are good predictors of the soil nitrogen supply to canola following legume and non-legume crops in western Canada","year":2013,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Nitrogen and Sulfur Effects on Brassica","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canola; Green manure; Soil organic matter; Legume; Nitrogen; Crop rotation; Soil fertility; Particulates; Organic matter; Biomass (ecology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001112106,0.000314962,0.0003788422,0.00005102112,0.0001525311,0.00007751576,0.0002547087,0.0001347944,0.00003936303],"category_scores_gemma":[0.00003245937,0.0002576106,0.00009997562,0.00018892,0.000138074,0.0000190326,0.0002822781,0.0001312397,0.0000111588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005105655,"about_ca_system_score_gemma":0.000248594,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06160115,"about_ca_topic_score_gemma":0.2940149,"domain_scores_codex":[0.9982072,0.0001432793,0.0004223689,0.0004850188,0.0002269368,0.000515264],"domain_scores_gemma":[0.9990626,0.00003209752,0.0001385438,0.0004178146,0.00008596188,0.0002630033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001534026,0.00002612832,0.5226662,0.00001975351,0.00007870995,0.00000519946,0.00005831627,0.000005860046,0.4756227,0.000001641587,0.001475127,0.00002504949],"study_design_scores_gemma":[0.001511562,0.0001515481,0.7006424,0.00009634523,0.00008396258,0.00003626796,0.0001833567,0.0001583665,0.2948257,0.00002873282,0.001812194,0.0004695077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970422,0.0003903243,0.00002772204,0.001397364,0.0001836577,0.0006813363,0.0002151503,0.000009544991,0.00005268024],"genre_scores_gemma":[0.9982367,0.00001184026,0.00007600484,0.001149514,0.0001048334,0.00006891418,0.00008945938,0.00004113932,0.0002215715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2324138,"threshold_uncertainty_score":0.9999876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678259780549616,"score_gpt":0.1936071595780901,"score_spread":0.166824561772594,"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."}}