{"id":"W4366828140","doi":"10.3390/agronomy13051183","title":"Modeling Topsoil Phosphorus—From Observation-Based Statistical Approach to Land-Use and Soil-Based High-Resolution Mapping","year":2023,"lang":"en","type":"article","venue":"Agronomy","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State Forest Management Centre; Ministry of Rural Affairs; Eesti Teadusagentuur","keywords":"Topsoil; Environmental science; Soil science; Eutrophication; Biogeochemical cycle; Land use; Soil water; Ecosystem; Phosphorus; Hydrology (agriculture); Nutrient; Ecology; Geology; Environmental chemistry; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009766909,0.0004817076,0.0004460296,0.001135766,0.0002512359,0.0009407708,0.001481662,0.000601401,0.0006382409],"category_scores_gemma":[0.001875885,0.0004747991,0.0008961807,0.002851149,0.0003388528,0.0008791969,0.0006347501,0.0003267459,0.0001712558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115949,"about_ca_system_score_gemma":0.0009863169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08258307,"about_ca_topic_score_gemma":0.05155258,"domain_scores_codex":[0.9997016,0.00006922689,0.00001951065,0.0001278974,0.00004823146,0.00003342483],"domain_scores_gemma":[0.9993418,0.0003076422,0.0001338134,0.00008598381,0.0000955326,0.00003528735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002864158,0.00007109738,0.03611633,0.00007426956,0.0001910647,0.00006085104,0.00005718395,0.9439152,0.001161118,0.001462266,0.0006008183,0.01626113],"study_design_scores_gemma":[0.000005713907,0.000005560377,0.007016008,0.000002793439,0.00001231903,0.000007667843,0.00001721778,0.9915535,0.0001505165,0.0007891191,0.0004325723,0.000007071861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7904478,0.0007487109,0.1943014,0.0004988101,0.00004866454,0.0001148689,0.01019367,0.001315425,0.002330804],"genre_scores_gemma":[0.9487054,0.0003259401,0.04694622,0.0000353933,0.0000280348,0.0001352741,0.00322759,0.00006337931,0.0005327892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08258307,"threshold_uncertainty_score":0.1642048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063536114664473,"score_gpt":0.2071174526157095,"score_spread":0.1764820914690648,"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."}}