{"id":"W2943905393","doi":"10.7202/1058473ar","title":"Hiding from Whom?","year":2019,"lang":"en","type":"article","venue":"Intermédialités Histoire et théorie des arts des lettres et des techniques","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Agence Nationale de la Recherche; European Commission; Princeton University","keywords":"Anonymity; Variety (cybernetics); Internet privacy; Confidentiality; Computer science; Computer security; Nothing; Context (archaeology); Encryption; Identification (biology); Construct (python library); Epistemology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01671982,0.0008476861,0.0007413455,0.001423654,0.007079508,0.01137959,0.00175127,0.004613218,0.0156951],"category_scores_gemma":[0.03758262,0.0006149298,0.0007888723,0.001424141,0.02793518,0.03362814,0.01029092,0.006850065,0.006774693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002507267,"about_ca_system_score_gemma":0.003823306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004362088,"about_ca_topic_score_gemma":0.002964882,"domain_scores_codex":[0.9844558,0.01028671,0.0004675709,0.002233977,0.001719037,0.0008368695],"domain_scores_gemma":[0.980928,0.01016739,0.001513217,0.005221392,0.001464362,0.0007055235],"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":[0.00005716294,0.00003264116,0.001922633,0.0001394975,0.0000273815,0.0002423028,0.05037963,0.0002013692,0.0006837226,0.8774423,0.01699384,0.05187756],"study_design_scores_gemma":[0.00001495693,0.00003823162,0.0004702496,0.0004705829,0.00004119844,0.0007160971,0.02701192,0.0007013233,0.001739773,0.6250663,0.3436698,0.00005949931],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04305574,0.007523948,0.2456554,0.3332214,0.001948039,0.00019584,0.0004982742,0.0006890276,0.3672122],"genre_scores_gemma":[0.8434337,0.006604799,0.03973975,0.03048969,0.0006504382,0.0003024784,0.00039303,0.0004473574,0.07793881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01671982,"threshold_uncertainty_score":0.08842391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03687272924455225,"score_gpt":0.3181521651857013,"score_spread":0.2812794359411491,"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."}}