{"id":"W7110639305","doi":"","title":"Effecten van een graslandnorm op de Nederlandse zuivelketen","year":2025,"lang":"nl","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Volunteer work; State information","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","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002462206,0.002874292,0.003153514,0.000929766,0.001364111,0.0006700846,0.001925291,0.003122,0.005837334],"category_scores_gemma":[0.00007646684,0.003034693,0.001439177,0.0004007756,0.0005221501,0.0004392067,0.00122489,0.002326919,0.063268],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008924919,"about_ca_system_score_gemma":0.0005233319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006155231,"about_ca_topic_score_gemma":0.00001148646,"domain_scores_codex":[0.987347,0.002024757,0.00225255,0.003075437,0.002144174,0.003156085],"domain_scores_gemma":[0.9949848,0.0002928459,0.001467378,0.002177165,0.00003365719,0.001044134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001261444,0.002374536,0.4950056,0.009545309,0.01622366,0.001135291,0.00932006,0.2931142,0.02547902,0.0007660522,0.1422891,0.003485719],"study_design_scores_gemma":[0.01533164,0.000809005,0.00105508,0.01560472,0.006682864,0.0003688007,0.1087806,0.7553804,0.00004317983,0.001319177,0.08367024,0.01095434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2160577,0.04977465,0.04941894,0.0002416744,0.007831424,0.01559404,0.01354893,0.002386699,0.645146],"genre_scores_gemma":[0.597346,0.001124379,0.0002419345,0.00008137925,0.001720061,0.000476783,0.001515933,0.001962207,0.3955313],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4939505,"threshold_uncertainty_score":0.9999747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002867378208602,"score_gpt":0.2251068275784844,"score_spread":0.2150781537963983,"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."}}