{"id":"W4402559253","doi":"10.3386/w32940","title":"Data Privacy for Record Linkage and Beyond","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Record linkage; Linkage (software); Internet privacy; Computer science; Sociology; Biology; Demography; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08386008,0.00126301,0.002849062,0.003799723,0.006260192,0.0165014,0.005081112,0.009149984,0.006839229],"category_scores_gemma":[0.1837271,0.001328725,0.002940033,0.01021201,0.02026651,0.04118449,0.01497041,0.01345472,0.002687984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005295807,"about_ca_system_score_gemma":0.01143815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001923821,"about_ca_topic_score_gemma":0.000613454,"domain_scores_codex":[0.9071265,0.0555543,0.005528298,0.01102649,0.0188103,0.001954074],"domain_scores_gemma":[0.7523203,0.147808,0.01012949,0.07198665,0.01551956,0.002235946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005410729,0.00003789291,0.0006239018,0.0002532215,0.00004572932,0.0001144993,0.0006052839,0.001894915,0.0001927744,0.9424996,0.006140153,0.04753804],"study_design_scores_gemma":[0.0000162139,0.00002798658,0.0001605557,0.0001940426,0.00002248215,0.0002329145,0.0001641752,0.003886412,0.0007069234,0.963042,0.03151921,0.00002708711],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004981375,0.01266023,0.8813202,0.06706749,0.001346551,0.0003078319,0.000978353,0.0004979342,0.03084014],"genre_scores_gemma":[0.3332371,0.02709994,0.5931942,0.02171702,0.0071007,0.001974053,0.002464909,0.0005547848,0.01265733],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08386008,"threshold_uncertainty_score":0.4434998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4952387882732855,"score_gpt":0.5322831938006032,"score_spread":0.03704440552731769,"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."}}