{"id":"W7110572432","doi":"","title":"Ex ante evaluatie van duurzaamheidsdoelen en -prestaties van de Nederlandse diervoederindustrie","year":2025,"lang":"nl","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance; Impact","funders":"","keywords":"Ex-ante; Consumption (sociology); Statistical analysis; Data collection; Term (time)","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":[0.005519339,0.0008195931,0.0008995103,0.001198131,0.0008379478,0.00794615,0.001277814,0.001236652,0.05372169],"category_scores_gemma":[0.01333842,0.0006721193,0.0006507108,0.002030096,0.0009208856,0.004163248,0.00251012,0.002059774,0.004042354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006471695,"about_ca_system_score_gemma":0.006260503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.133332,"about_ca_topic_score_gemma":0.1912627,"domain_scores_codex":[0.9948424,0.002680901,0.0001394328,0.0004255181,0.001610573,0.0003011317],"domain_scores_gemma":[0.9970562,0.00180039,0.0001802727,0.0002472925,0.000606411,0.0001093495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006981382,0.0004621742,0.008828179,0.002128816,0.0003457899,0.0002969519,0.004219032,0.2577012,0.002196851,0.3874603,0.08236214,0.2533004],"study_design_scores_gemma":[0.0001943995,0.0001763315,0.007072508,0.001877198,0.0002809486,0.0001038224,0.006989824,0.2046559,0.006065204,0.1411378,0.6313106,0.0001354849],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09782581,0.005031288,0.1659577,0.009486312,0.0006279015,0.0004513154,0.03437516,0.001000645,0.6852439],"genre_scores_gemma":[0.734359,0.004660639,0.09434405,0.0007593876,0.00009458554,0.0008389726,0.01435292,0.002303019,0.1482875],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.133332,"threshold_uncertainty_score":0.2651117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417260176877495,"score_gpt":0.2617893373070582,"score_spread":0.2376167355382832,"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."}}