{"id":"W3208919170","doi":"10.18174/554348","title":"Raming van broeikasgasemissies uit de landbouw tot 2030, met doorkijk naar 2040 : achtergronddocument veehouderij en akkerbouw bij de Klimaat- en Energieverkenning 2021","year":2021,"lang":"nl","type":"report","venue":"","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Greenhouse gas; Arable land; Context (archaeology); Agriculture; Environmental science; Methane; Manure management; Carbon dioxide; Animal waste; Nitrous oxide; Animal husbandry; Manure; Soil water; Fertilizer; Agricultural science; Agronomy; Environmental protection; Forestry; Geography; Biology; Ecology; Engineering; Waste management; Soil science","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"],"category_scores_codex":[0.004377492,0.003558197,0.00449543,0.0009462461,0.001070962,0.001459704,0.002469161,0.003529027,0.0445358],"category_scores_gemma":[0.001336138,0.003221386,0.0030122,0.001906275,0.0002969181,0.0008602542,0.002581203,0.002943658,0.0007171797],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008602748,"about_ca_system_score_gemma":0.002157251,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02829985,"about_ca_topic_score_gemma":0.01062421,"domain_scores_codex":[0.980805,0.00318378,0.003734165,0.004290099,0.003670862,0.004316044],"domain_scores_gemma":[0.9901188,0.001765918,0.002234237,0.003589968,0.0004354745,0.001855627],"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":[0.0002887865,0.002762165,0.02003005,0.002389095,0.03527113,0.0123782,0.008302061,0.5486327,0.1450813,0.003484689,0.117728,0.1036519],"study_design_scores_gemma":[0.001613344,0.0002645138,0.003173359,0.001853942,0.006379853,0.0008785415,0.005313372,0.001505539,0.03854016,0.0003181073,0.9359711,0.004188173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1851683,0.163995,0.04336619,0.004751518,0.006644333,0.002512938,0.0006937268,0.001886548,0.5909815],"genre_scores_gemma":[0.2164246,0.1804621,0.02971356,0.001385684,0.009813404,0.0007409246,0.007165911,0.001036966,0.5532568],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8182431,"threshold_uncertainty_score":0.9995769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009102279879948473,"score_gpt":0.2489140395488399,"score_spread":0.2398117596688914,"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."}}