{"id":"W2584417138","doi":"","title":"Nitraat en N- en P-uitspoeling bij de gebruiksnormen van het 5de NAP : modelberekeningen met MAMBO en STONE","year":2015,"lang":"nl","type":"article","venue":"Socio-Environmental Systems Modeling","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Art","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":[0.001357285,0.00074375,0.0005225315,0.0002360109,0.0004929794,0.001838528,0.001136491,0.0006717895,0.01016595],"category_scores_gemma":[0.001107955,0.0004637042,0.0009726987,0.0003347675,0.0005780934,0.001385026,0.001388926,0.001322291,0.001720222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00224094,"about_ca_system_score_gemma":0.002569569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04471122,"about_ca_topic_score_gemma":0.07117916,"domain_scores_codex":[0.9990532,0.0003087108,0.00003776949,0.0002191224,0.0002891708,0.0000920836],"domain_scores_gemma":[0.9996684,0.0001447218,0.00003921206,0.0000369781,0.00006583319,0.00004491519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006829786,0.001461447,0.02080794,0.007854014,0.000678378,0.0005963693,0.005375002,0.1044273,0.4777153,0.04572937,0.01301988,0.3155051],"study_design_scores_gemma":[0.0003916128,0.005039091,0.04331992,0.001203283,0.0007762746,0.0002891909,0.0048454,0.07715403,0.3817486,0.03526612,0.4494694,0.0004971735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.817491,0.01313376,0.06760931,0.002767864,0.0004410791,0.0005547546,0.006626212,0.0007103611,0.09066559],"genre_scores_gemma":[0.8822529,0.009196789,0.04424705,0.0004932559,0.00003057457,0.0007923107,0.004567517,0.0004060734,0.05801344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04471122,"threshold_uncertainty_score":0.088902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657667205384275,"score_gpt":0.2270285700504674,"score_spread":0.2104518979966246,"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."}}