{"id":"W7113150519","doi":"","title":"CBS Microdata als goudmijn voor sociaal-wetenschappelijk onderzoek","year":2025,"lang":"","type":"book-chapter","venue":"VU Research Portal","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Microdata (statistics); Data collection; Population; Context (archaeology)","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":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.1719122,0.001353849,0.002264043,0.002251143,0.0053085,0.0005622767,0.004182029,0.00405758,0.04955561],"category_scores_gemma":[0.05859618,0.001441245,0.00131244,0.001386177,0.0100769,0.0005920279,0.002538217,0.0072816,0.006391184],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004076344,"about_ca_system_score_gemma":0.009872833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00480195,"about_ca_topic_score_gemma":0.00801713,"domain_scores_codex":[0.9379078,0.04544717,0.002459581,0.003805616,0.005510656,0.004869148],"domain_scores_gemma":[0.9353618,0.05736366,0.0007693084,0.002444799,0.002634899,0.00142552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01057182,0.0005177124,0.001230781,0.000367068,0.002266164,0.00452513,0.00726169,8.0538e-7,0.002218574,0.4720649,0.4669337,0.03204172],"study_design_scores_gemma":[0.001051924,0.0005535556,0.003258002,0.0007140613,0.0002139682,0.00004679082,0.00594465,0.000009816698,0.0007142526,0.02861639,0.9573618,0.001514824],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008542219,0.006819424,0.0001353499,0.009320081,0.003612079,0.003075907,0.00260643,0.0002192219,0.9656693],"genre_scores_gemma":[0.03387517,0.01424006,0.001463656,0.0008971054,0.002632024,0.0001334814,0.0006050502,0.0001935266,0.9459599],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4904281,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5301655173825366,"score_gpt":0.5499093682037536,"score_spread":0.01974385082121699,"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."}}