{"id":"W2606501131","doi":"10.23889/ijpds.v1i1.76","title":"Social Data Linkage Environment","year":2017,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Identifier; Record linkage; Computer science; Index (typography); Personally identifiable information; Internet privacy; Unique identifier; Database; World Wide Web; Computer security; Sociology; Demography","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":[0.06567216,0.001647202,0.002551556,0.01653239,0.006759819,0.02099108,0.00622918,0.002692763,0.230497],"category_scores_gemma":[0.1194184,0.003154873,0.001747677,0.03789017,0.003488158,0.01080188,0.01523425,0.003679851,0.1167131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01561064,"about_ca_system_score_gemma":0.07403447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1250162,"about_ca_topic_score_gemma":0.07906947,"domain_scores_codex":[0.9396775,0.02261439,0.007440388,0.006864128,0.02059301,0.002810674],"domain_scores_gemma":[0.8159842,0.05380267,0.008564224,0.05407141,0.06100238,0.00657512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003391238,0.0001327526,0.003062038,0.0009472653,0.0001509464,0.0004035006,0.003110258,0.002269763,0.0005541175,0.1251303,0.6944669,0.1694329],"study_design_scores_gemma":[0.00005413606,0.00001194577,0.0007263769,0.0002009529,0.00001293812,0.00005849156,0.0003037865,0.001188281,0.0003514637,0.0140024,0.9830458,0.00004343313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.001984932,0.0004992891,0.2723612,0.01017517,0.001303246,0.004443365,0.3642612,0.1070531,0.2379185],"genre_scores_gemma":[0.03459648,0.001389989,0.3518631,0.00346554,0.0008266397,0.01019685,0.423664,0.02864935,0.1453481],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.230497,"threshold_uncertainty_score":0.7710892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6447609076066653,"score_gpt":0.5948565105111473,"score_spread":0.04990439709551797,"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."}}