{"id":"W7027092113","doi":"","title":"Brief of Amici Curiae Electronic Privacy Information Center (EPIC), Thirty-Two Technical Experts and Legal Scholars, and Eight Privacy and Transparency Organizations in Support of Respondents, Clapper v. Amnesty International","year":2012,"lang":"en","type":"other","venue":"DigitalGeorgetown (Georgetown University Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Ottawa; Georgetown University; Carnegie Mellon University","keywords":"Transparency (behavior); Amnesty; Information privacy; Privacy policy; Electronic surveillance; Center (category theory); Personally identifiable information; Privacy law; Confidentiality","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":[0.003882681,0.0009645182,0.0006734305,0.001742957,0.01707617,0.006482309,0.001864308,0.01972551,0.04056043],"category_scores_gemma":[0.01291335,0.0009049532,0.0004032278,0.001726968,0.001533702,0.005614989,0.002676631,0.01385571,0.01456622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005818779,"about_ca_system_score_gemma":0.01288405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05053775,"about_ca_topic_score_gemma":0.09591942,"domain_scores_codex":[0.9973027,0.0007844578,0.0001754518,0.0004649213,0.0007222465,0.0005502045],"domain_scores_gemma":[0.9929854,0.003795887,0.0002613988,0.0002574122,0.001961143,0.0007388119],"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":[0.00001088541,0.00002644434,0.0001699597,0.00004891873,0.000001775073,0.0002225772,0.0004907742,0.00001864233,0.000142001,0.007921257,0.9867994,0.004147299],"study_design_scores_gemma":[0.00001246136,0.0000216017,0.001641079,0.0001459237,0.000007439334,0.000119023,0.001688175,0.00008610325,0.0001895449,0.001830589,0.9942356,0.00002248248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005144722,0.01140338,0.000805993,0.5795574,0.01686268,0.0006886008,0.001471078,0.000211477,0.3838547],"genre_scores_gemma":[0.01961197,0.00512193,0.000481446,0.4916413,0.004314513,0.0006846188,0.000334258,0.00008557489,0.4777243],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05053775,"threshold_uncertainty_score":0.1356881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004117822626164745,"score_gpt":0.1976465665320507,"score_spread":0.1935287439058859,"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."}}