{"id":"W2946131350","doi":"","title":"Strategies for Protecting Privacy in Open Data and Proactive Disclosure","year":2016,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Canada","keywords":"Internet privacy; Business; Computer security; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002192377,0.0001302007,0.0001863645,0.00004372935,0.0007863115,0.0007110549,0.001706002,0.0001224045,0.00005376565],"category_scores_gemma":[0.002311883,0.00009733764,0.00002010193,0.0001808492,0.0002333738,0.004691479,0.001764385,0.0002085736,0.00001513094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064739,"about_ca_system_score_gemma":0.0003610201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01693616,"about_ca_topic_score_gemma":0.04981776,"domain_scores_codex":[0.9983124,0.0003096588,0.0002181233,0.0005708832,0.0002122815,0.0003767267],"domain_scores_gemma":[0.9987621,0.0002217256,0.0001162523,0.0007009557,0.00006571534,0.0001333014],"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":[0.0007191525,0.0004282109,0.02052799,0.0002350187,0.0001174931,0.0000120678,0.02219643,9.324404e-7,0.004992277,0.8388563,0.006098946,0.1058151],"study_design_scores_gemma":[0.002997342,0.0002361766,0.007752758,0.0003296585,0.0000305801,0.000003508296,0.02379121,0.00006780679,0.001431465,0.4973857,0.4653377,0.0006360643],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8371657,0.00109696,0.02736458,0.03766127,0.001220446,0.0222288,0.001659861,0.0005578453,0.07104456],"genre_scores_gemma":[0.9956574,0.00007218108,0.003022145,0.00008937727,0.0003763142,0.0004144977,0.00002639768,0.00001635424,0.000325263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4592388,"threshold_uncertainty_score":0.9896101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06750860845452483,"score_gpt":0.3474657230700695,"score_spread":0.2799571146155447,"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."}}