{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.006105409,0.003403818,0.004055674,0.001359393,0.001173988,0.00103729,0.002914533,0.003399024,0.01897867],"category_scores_gemma":[0.001211499,0.003012032,0.002623781,0.002340327,0.0002863425,0.0007917188,0.002736858,0.002977116,0.002150394],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008851646,"about_ca_system_score_gemma":0.001387949,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0337594,"about_ca_topic_score_gemma":0.01041488,"domain_scores_codex":[0.9813117,0.002574447,0.003706011,0.003971239,0.003985401,0.0044512],"domain_scores_gemma":[0.9905283,0.002042883,0.002297666,0.003205209,0.0002798859,0.001646099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003066813,0.001406199,0.02018542,0.002172423,0.0280705,0.005801165,0.008363988,0.5788676,0.07183789,0.002288951,0.2166553,0.06404386],"study_design_scores_gemma":[0.001564828,0.0003365145,0.007013384,0.001267893,0.005738565,0.0004585825,0.005209172,0.002517633,0.01308689,0.000502817,0.9579943,0.00430945],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2431235,0.0793246,0.02444392,0.006057275,0.01145962,0.004055432,0.001281853,0.007085504,0.6231683],"genre_scores_gemma":[0.1542306,0.1308407,0.01039119,0.0009127408,0.007470727,0.001091257,0.005555513,0.001281914,0.6882254],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.741339,"threshold_uncertainty_score":0.9999997,"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."}}