{"id":"W3117225093","doi":"10.69554/rghk4494","title":"De-identification as public policy","year":2020,"lang":"en","type":"article","venue":"Journal of data protection & privacy.","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Privacy Analytics (Canada)","funders":"","keywords":"Identification (biology); Public policy; Political science; Public administration; Law","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003128653,0.0001267378,0.000204494,0.0002873545,0.000688751,0.0006492643,0.002456137,0.0001639098,0.0002682394],"category_scores_gemma":[0.01720024,0.0001267333,0.00008464631,0.001029476,0.0001418747,0.004668279,0.0007078777,0.0005939772,0.0001658271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003309096,"about_ca_system_score_gemma":0.001678438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002421967,"about_ca_topic_score_gemma":0.00009699736,"domain_scores_codex":[0.9973642,0.0005848828,0.0006325032,0.0003054191,0.0007728069,0.0003401428],"domain_scores_gemma":[0.9975354,0.00004568606,0.000828482,0.0007327935,0.0004190441,0.0004385613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005923957,0.0005950436,0.001372777,0.0001758886,0.0002626192,0.00005329989,0.02145451,0.0000157796,0.03359127,0.02988184,0.08277658,0.829228],"study_design_scores_gemma":[0.0005665448,0.0002417216,0.001411707,0.00002720723,0.00003958446,0.00009463109,0.001298963,0.0005838182,0.001605312,0.01911071,0.9748236,0.0001962101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05803517,0.0008127786,0.4462396,0.4872781,0.001350829,0.001647932,0.0001627217,0.0003338338,0.004139038],"genre_scores_gemma":[0.9915353,0.000704598,0.002515093,0.001067027,0.003997211,0.00001349782,0.00004110147,0.00001928537,0.0001068802],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9335002,"threshold_uncertainty_score":0.9910783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.138366522078078,"score_gpt":0.3721292501526813,"score_spread":0.2337627280746032,"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."}}