{"id":"W6931953043","doi":"10.5683/sp3/snhm2q","title":"Replication Data for: Comparison of equivalent soil mass approaches to estimate soil organic carbon stocks under long-term tillage","year":2024,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Tillage; Soil carbon; Plough; Replication (statistics); Carbon stock; Total organic carbon; Soil organic matter; Minimum tillage","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.004308987,0.002728581,0.002043448,0.002496226,0.001179053,0.002269055,0.004793995,0.003029037,0.06663702],"category_scores_gemma":[0.01523188,0.001058072,0.002214803,0.004107365,0.0007900858,0.001342326,0.002402909,0.002062422,0.07044085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665176,"about_ca_system_score_gemma":0.002893132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04383896,"about_ca_topic_score_gemma":0.08352449,"domain_scores_codex":[0.9975953,0.0005322453,0.0002830572,0.000830479,0.0004933231,0.0002656914],"domain_scores_gemma":[0.9930433,0.00223708,0.000751082,0.001887406,0.001652621,0.0004285289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003140107,0.00008018593,0.003815696,0.00139914,0.0002077482,0.00004431287,0.00006654021,0.0009745569,0.0003479406,0.0006746819,0.9885056,0.003569515],"study_design_scores_gemma":[0.001885739,0.0000887846,0.01781766,0.0006224088,0.0002630412,0.000111947,0.0001597533,0.001665354,0.0009794731,0.002837852,0.9734432,0.0001247157],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003140127,0.00004767515,0.0001506062,0.00004574296,0.00002660071,0.00001890031,0.9987621,0.0002894487,0.000344895],"genre_scores_gemma":[0.0009358375,0.00002277619,0.0006928683,0.00004379371,0.000007975594,0.000181282,0.997417,0.000116842,0.0005816322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06663702,"threshold_uncertainty_score":0.222923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1990216667408237,"score_gpt":0.3827931302377783,"score_spread":0.1837714634969545,"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."}}