{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01347656,0.0001152877,0.0002864965,0.00032611,0.0005033617,0.0001628129,0.001333733,0.00005065494,0.0001661728],"category_scores_gemma":[0.001047455,0.00005755041,0.00002140199,0.001137102,0.001265339,0.0005515788,0.001044121,0.0002689771,0.00000437331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000939138,"about_ca_system_score_gemma":0.0000501146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438035,"about_ca_topic_score_gemma":0.0002618788,"domain_scores_codex":[0.9954585,0.0004400506,0.0005124251,0.0006776165,0.002549762,0.0003616853],"domain_scores_gemma":[0.9973715,0.0016922,0.0002354131,0.0004589123,0.0001024411,0.0001395561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008547348,0.0002240365,0.4714631,0.0001938837,0.0001716895,0.00006165273,0.001689841,0.002825726,0.001341192,0.1369773,0.2776776,0.1065193],"study_design_scores_gemma":[0.001084937,0.001001653,0.8509198,0.0001370673,0.00005514522,0.00002420043,0.003344755,0.06012229,0.0003498817,0.02319862,0.05940687,0.0003547396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986902,0.0005764189,0.003309178,0.007441019,0.00008354213,0.0006450405,0.0003249045,0.00002297242,0.0006949325],"genre_scores_gemma":[0.9976295,0.00008119503,0.001087445,0.00004759246,0.00005303017,0.000003522248,0.0000353319,0.0000051752,0.001057211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3794567,"threshold_uncertainty_score":0.4670732,"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."}}