{"id":"W3027331725","doi":"","title":"Landbouw in Nederland in 2050: Effecten van ontwikkelrichtingen","year":2020,"lang":"nl","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Energy, Environment, Agriculture Analysis","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Political 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"],"consensus_categories":[],"category_scores_codex":[0.0007667789,0.0006728733,0.0009747623,0.000185362,0.0002128584,0.0002422941,0.001820976,0.00025254,0.0001303526],"category_scores_gemma":[0.00004104169,0.0005683224,0.0001065507,0.001049727,0.0000911016,0.0005144938,0.001837952,0.0007754302,0.0001263895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007899101,"about_ca_system_score_gemma":0.00001942021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02642589,"about_ca_topic_score_gemma":0.2384741,"domain_scores_codex":[0.9952177,0.0008919811,0.0008537159,0.001605624,0.0004222912,0.001008631],"domain_scores_gemma":[0.9974301,0.0005647099,0.0003178898,0.001242088,0.00001094245,0.0004343014],"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":[0.0004174468,0.0003569745,0.7201545,0.00109179,0.0007218901,0.000493466,0.01796028,0.2262747,0.002644528,0.00012224,0.001986063,0.02777614],"study_design_scores_gemma":[0.001922104,0.000158703,0.4531355,0.0009723568,0.000432527,0.00001012782,0.001886391,0.4861142,0.00003106067,0.0001639752,0.05419898,0.0009740949],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826873,0.006410576,0.0002592312,0.001311174,0.0001555483,0.0003447401,0.0003512815,0.0001078286,0.008372338],"genre_scores_gemma":[0.9844607,0.005971692,0.0004924963,0.001295391,0.00101931,0.00002382377,0.006289823,0.00008205683,0.0003647096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.267019,"threshold_uncertainty_score":0.9996768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0131694948497679,"score_gpt":0.2173637687562711,"score_spread":0.2041942739065032,"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."}}