{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001443025,0.0004432104,0.0006387639,0.0007092982,0.0007251131,0.004355094,0.001205022,0.001044827,0.01485662],"category_scores_gemma":[0.003546381,0.0004990706,0.001571337,0.001695535,0.0006330732,0.001746533,0.002395847,0.001451694,0.001150983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006147454,"about_ca_system_score_gemma":0.006658465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6086378,"about_ca_topic_score_gemma":0.6902989,"domain_scores_codex":[0.9985977,0.0003536225,0.0001074219,0.0002081875,0.0003011646,0.0004319089],"domain_scores_gemma":[0.999109,0.0002306707,0.0001559816,0.00003592969,0.0001823569,0.0002860954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00307369,0.001074198,0.2695566,0.004024139,0.002441228,0.004535692,0.017288,0.0317403,0.004876028,0.1120432,0.2122431,0.3371039],"study_design_scores_gemma":[0.0001498989,0.0002270887,0.4175322,0.002297706,0.0007645694,0.0003358405,0.0217429,0.004332394,0.001060512,0.005464269,0.5459785,0.0001140343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7752991,0.03237882,0.003916891,0.0199493,0.002278486,0.0001701335,0.04239668,0.0003531649,0.1232574],"genre_scores_gemma":[0.9152157,0.009235013,0.004479641,0.002160153,0.00008276881,0.000210013,0.01366005,0.0001806121,0.05477603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6086378,"threshold_uncertainty_score":0.787334,"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."}}