{"id":"W4226023028","doi":"10.18174/564381","title":"Buitenlands eigendom van agrarische grond in Nederland, 2016-2021","year":2022,"lang":"nl","type":"report","venue":"","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Agriculture; Agricultural land; Christian ministry; Agricultural economics; Geography; Period (music); Agricultural science; Business; Economics; Environmental science; Political science; Archaeology; Law","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":[0.0009583046,0.0003567306,0.0003369066,0.0009856974,0.0004987671,0.002213913,0.0005684535,0.0003697687,0.00844021],"category_scores_gemma":[0.001248195,0.0003237184,0.0004249194,0.002592146,0.0002566555,0.0008738546,0.001615015,0.0006440958,0.001547561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003257434,"about_ca_system_score_gemma":0.005571954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4320154,"about_ca_topic_score_gemma":0.5835066,"domain_scores_codex":[0.9992815,0.00008536292,0.00007190404,0.0001094275,0.0002824588,0.0001693269],"domain_scores_gemma":[0.9992618,0.00009515689,0.0001393639,0.00003206662,0.0002653261,0.0002062771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0009092325,0.0002156692,0.2736938,0.003590253,0.0004312861,0.001244368,0.01051617,0.004891274,0.003923186,0.0282034,0.4907277,0.1816537],"study_design_scores_gemma":[0.00003445452,0.00003680173,0.3682807,0.0006302609,0.00006801967,0.0001576559,0.005893313,0.0007850523,0.001415805,0.001291174,0.6213661,0.00004065562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.339085,0.01335198,0.003367406,0.005045322,0.0006466713,0.0002155398,0.4999729,0.0002931897,0.138022],"genre_scores_gemma":[0.4325281,0.01389774,0.01074344,0.0009756781,0.0001092594,0.000772302,0.4078285,0.000366212,0.1327788],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4320154,"threshold_uncertainty_score":0.8590015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294348357588006,"score_gpt":0.2423528462414856,"score_spread":0.2194093626656055,"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."}}