{"id":"W2513007397","doi":"","title":"The Lawful Access Fallacy: Voluntary Warrantless Disclosures, Customer Privacy, and Government Requests for Subscriber Information","year":2017,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Legislation; Internet privacy; Information privacy; Business; Computer security; Government (linguistics); Secrecy; Law; Personally identifiable information; The Right to Privacy; Civil liberties; Political science; Politics; Computer science; Human rights","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":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.001069396,0.0001736409,0.0002005184,0.0000137272,0.004529633,0.002119659,0.001209604,0.0001424517,0.00006721741],"category_scores_gemma":[0.0003054125,0.0001174478,0.0000904739,0.00004870209,0.00440136,0.003556781,0.0002640495,0.0001728407,0.00007382229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879289,"about_ca_system_score_gemma":0.000117035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.00697674,"about_ca_topic_score_gemma":0.03722573,"domain_scores_codex":[0.998128,0.0001010948,0.000315099,0.0002336487,0.000725667,0.0004965199],"domain_scores_gemma":[0.9984997,0.0001773872,0.0002890984,0.0006549801,0.0001307249,0.0002481345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008463782,0.00002824864,0.03073507,0.00003301324,0.00004405928,0.000002457194,0.003053738,0.000001301339,0.00001169954,0.9441624,0.01633209,0.005511336],"study_design_scores_gemma":[0.0007759303,0.00002700475,0.01565375,0.00003602736,0.0000345353,0.000001306455,0.0005368831,0.00002731601,0.0001135092,0.02070646,0.9618454,0.0002418729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6765931,0.001950296,0.00743166,0.04480561,0.009013741,0.005708538,0.0005801956,0.0004603878,0.2534565],"genre_scores_gemma":[0.992166,0.0006220946,0.0001833231,0.0006450111,0.0007892838,0.0001118601,0.00001915119,0.0000169715,0.005446238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9455133,"threshold_uncertainty_score":0.9996359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297428971344254,"score_gpt":0.2962070108949381,"score_spread":0.2732327211814956,"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."}}