{"id":"W4214928625","doi":"10.7745/kjssf.2022.55.1.058","title":"Prediction of Soil Organic Carbon Contents of Rice Paddies in South-Western Coastal Area of Korea Using Random Forest Models","year":2022,"lang":"en","type":"article","venue":"Korean Journal of Soil Science and Fertilizer","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Rural Development Administration","keywords":"Silt; Environmental science; Soil science; Soil water; Soil carbon; Soil test; Vegetation (pathology); Total organic carbon; Hydrology (agriculture); Soil survey; Soil texture; Geology; Environmental chemistry; Geotechnical engineering","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":[0.0005453247,0.0007208699,0.0003724983,0.0009414935,0.0001643112,0.0004176825,0.0004881106,0.000366971,0.0002421031],"category_scores_gemma":[0.000688383,0.0002878241,0.0009127498,0.0006663806,0.0001462456,0.0004873781,0.0002501817,0.0002379173,0.0001146057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004068043,"about_ca_system_score_gemma":0.0005670002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03326248,"about_ca_topic_score_gemma":0.03961583,"domain_scores_codex":[0.9998436,0.00002958645,0.00001456779,0.00006182026,0.00001719969,0.00003325666],"domain_scores_gemma":[0.9996567,0.0001036552,0.00007912686,0.0000278391,0.0000931864,0.00003950136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002531272,0.0002498482,0.6612849,0.0001468855,0.0002957216,0.00056682,0.0001400186,0.2929824,0.01038838,0.0001827012,0.0006025314,0.03290669],"study_design_scores_gemma":[0.00002226909,0.00006159634,0.2088225,0.00001704658,0.000069333,0.00005960712,0.0001761556,0.7889196,0.001482744,0.0001154746,0.0002248797,0.00002871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969296,0.00006620929,0.002388714,0.00002653004,0.000004024892,0.000008597138,0.000345216,0.00007590723,0.0001552843],"genre_scores_gemma":[0.9966539,0.00004930905,0.002670857,0.000006999149,0.000001976733,0.000009187109,0.0005043347,0.000006824461,0.00009649807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03326248,"threshold_uncertainty_score":0.06613779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0450006465110102,"score_gpt":0.2106715687540312,"score_spread":0.165670922243021,"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."}}