{"id":"W4322704756","doi":"10.18174/582057","title":"Raming van luchtemissies uit de landbouw tot 2030, met doorkijk naar 2040 : Achtergronddocument veehouderij en akkerbouw bij de Klimaat- en Energieverkenning 2022","year":2023,"lang":"nl","type":"report","venue":"","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Greenhouse gas; Context (archaeology); Arable land; Nitrous oxide; Environmental science; Methane; Agriculture; Manure management; Carbon dioxide; Manure; Environmental chemistry; Agronomy; Chemistry; Geography; Ecology; Biology","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":[0.0003799271,0.0002425182,0.0002258429,0.0003367003,0.0004268497,0.001774194,0.0002847508,0.00039934,0.01888049],"category_scores_gemma":[0.0007920695,0.000238381,0.0002537566,0.001060625,0.0002592106,0.001274092,0.0006121131,0.0006620542,0.003037858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979109,"about_ca_system_score_gemma":0.002536895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08692934,"about_ca_topic_score_gemma":0.1520499,"domain_scores_codex":[0.9996275,0.00007357971,0.00001679285,0.00004505617,0.0001812592,0.00005580854],"domain_scores_gemma":[0.9998809,0.00004075205,0.0000168532,0.00000785426,0.00003443679,0.00001919989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001103099,0.0004041097,0.07639276,0.003818852,0.0002220145,0.002326295,0.005593278,0.03020917,0.03611208,0.09688642,0.214087,0.532845],"study_design_scores_gemma":[0.00001928667,0.00006179984,0.0474627,0.0003273043,0.000044404,0.0003033485,0.002517091,0.002899466,0.01232625,0.007582694,0.9263934,0.00006226382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4409084,0.03468611,0.0241703,0.01003208,0.0009046256,0.0001738597,0.07549433,0.000573617,0.4130567],"genre_scores_gemma":[0.708999,0.03085016,0.0167569,0.000678221,0.0001727333,0.0003244918,0.03708656,0.0006885813,0.2044434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08692934,"threshold_uncertainty_score":0.1728467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963473685162703,"score_gpt":0.2807252118842487,"score_spread":0.2610904750326217,"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."}}