{"id":"W7113234448","doi":"","title":"Content, Design and Structure of Major Databases with Historical Longitudinal Population Data","year":2023,"lang":"en","type":"article","venue":"KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Public Safety Research and Treatment","funders":"","keywords":"Erasmus+; Population; Linkage (software); Crowdsourcing; Range (aeronautics); Relational database","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.06270339,0.0007209717,0.001326745,0.01157384,0.003300245,0.01332227,0.004720389,0.001405863,0.006906418],"category_scores_gemma":[0.1703424,0.001819697,0.001449207,0.01406935,0.002226783,0.008033017,0.008849111,0.001670975,0.003441543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004186601,"about_ca_system_score_gemma":0.009247261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003366121,"about_ca_topic_score_gemma":0.002145179,"domain_scores_codex":[0.9433243,0.0291598,0.009299707,0.005990466,0.01077943,0.001446266],"domain_scores_gemma":[0.8039289,0.09043682,0.01431795,0.04730099,0.04005506,0.003960313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00290046,0.001259724,0.05788133,0.003597055,0.0003443407,0.0005407139,0.009459672,0.01106275,0.01069824,0.128809,0.1143831,0.6590638],"study_design_scores_gemma":[0.001582252,0.001456103,0.04623898,0.003123107,0.000785007,0.001163581,0.009708341,0.09343144,0.07729806,0.1249251,0.6398307,0.0004573468],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06590489,0.001878707,0.8241943,0.008088226,0.0006135522,0.01700069,0.05547854,0.01161041,0.01523073],"genre_scores_gemma":[0.1417018,0.001255276,0.7781529,0.001011973,0.0004138403,0.01225375,0.05894515,0.001634867,0.004630352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06270339,"threshold_uncertainty_score":0.3316112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6723114842298782,"score_gpt":0.4992735101447177,"score_spread":0.1730379740851605,"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."}}