{"id":"W6886869715","doi":"10.15454/oaxqx8","title":"Compilation of data on soil organic carbon stocks and N2O emissions from published long term fields trials","year":2019,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Tillage; Soil carbon; Soil water; Stock (firearms); Climate change; Agriculture; Soil quality; Soil organic matter","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":[0.006259062,0.001553828,0.002904322,0.01602012,0.0004363797,0.002095235,0.001971783,0.001276372,0.02084903],"category_scores_gemma":[0.02309847,0.000791352,0.002751295,0.01818239,0.000422639,0.001367408,0.001887647,0.001201509,0.007670878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200698,"about_ca_system_score_gemma":0.00541569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006550867,"about_ca_topic_score_gemma":0.01040839,"domain_scores_codex":[0.9941122,0.001115347,0.002336406,0.001008801,0.00119255,0.0002347284],"domain_scores_gemma":[0.9617842,0.0186582,0.007736559,0.003593827,0.007429129,0.0007980754],"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":[0.003938196,0.0006490508,0.0458792,0.2003498,0.01276247,0.0009353291,0.001140141,0.006236057,0.01047004,0.006879802,0.5221893,0.1885707],"study_design_scores_gemma":[0.0009657925,0.0004339932,0.06933893,0.01597015,0.005971242,0.0004716157,0.0003818168,0.0005244487,0.003146017,0.002772101,0.8998534,0.0001705756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004401405,0.005380825,0.001313496,0.0001344138,0.00008536554,0.0001997057,0.9853621,0.0002249376,0.00289775],"genre_scores_gemma":[0.01676512,0.005829174,0.004845777,0.0002847139,0.00009266625,0.002224221,0.9680051,0.000195261,0.001758053],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02084903,"threshold_uncertainty_score":0.06974691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1760858543763963,"score_gpt":0.3966030098312067,"score_spread":0.2205171554548104,"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."}}