{"id":"W7110529750","doi":"","title":"De Boerenleenbank en de Agrarische Gemeenschap in Overasselt : Een analyse over de invloed van de Boerenleenbank Overasselt, later Rabobank, op het agrarisch landschap en de lokale gemeenschap","year":2024,"lang":"en","type":"other","venue":"Socio-Environmental Systems Modeling","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Context (archaeology); Work (physics); Selection (genetic algorithm)","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":[0.00148369,0.0004433499,0.0005345868,0.0006861312,0.001425553,0.008415703,0.001250677,0.001484262,0.02452296],"category_scores_gemma":[0.003392881,0.0004925036,0.0006027369,0.002772844,0.001618722,0.005222692,0.002981224,0.001840647,0.001808953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007455144,"about_ca_system_score_gemma":0.007563695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3132551,"about_ca_topic_score_gemma":0.4008562,"domain_scores_codex":[0.9986743,0.0003495862,0.00003686151,0.0001725258,0.0005364958,0.0002303398],"domain_scores_gemma":[0.9990572,0.0003633049,0.00011031,0.00009319662,0.0002246185,0.0001513647],"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":[0.000381771,0.0001459984,0.01536618,0.0007808781,0.0001411725,0.0005427898,0.008196278,0.06139682,0.00213177,0.6320932,0.09811079,0.1807124],"study_design_scores_gemma":[0.00003565336,0.00003910292,0.02001809,0.0009142579,0.0001083267,0.0001831546,0.009492677,0.03485692,0.002766294,0.1873323,0.7441146,0.0001385909],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.314764,0.02964961,0.09565768,0.0521367,0.001262578,0.0000781382,0.01664114,0.0006984233,0.4891118],"genre_scores_gemma":[0.826171,0.00874507,0.01993779,0.0008242466,0.00008521631,0.00008029339,0.003459253,0.0009268206,0.1397703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3132551,"threshold_uncertainty_score":0.6228635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110119188525866,"score_gpt":0.2551412603635048,"score_spread":0.2441293415109182,"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."}}