{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001528703,0.0004320639,0.0004982552,0.0002988967,0.001673958,0.0008130133,0.00122624,0.0003768209,0.0006259941],"category_scores_gemma":[0.001293578,0.0004453681,0.000270867,0.0003829479,0.002039107,0.002159522,0.0005821544,0.0005799458,0.0001496854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001067607,"about_ca_system_score_gemma":0.000239845,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02669172,"about_ca_topic_score_gemma":0.01143779,"domain_scores_codex":[0.9964889,0.0007821214,0.0005807436,0.0007795155,0.0006019985,0.000766709],"domain_scores_gemma":[0.9977862,0.0004610055,0.0002755378,0.0009338199,0.0002934903,0.0002499364],"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":[0.0003324009,0.0004708855,0.01996768,0.0002834674,0.0001779975,0.0001377972,0.0600798,0.000001855376,0.02933323,0.2382068,0.02476046,0.6262476],"study_design_scores_gemma":[0.0002700595,0.0002440598,0.001576706,0.0006822893,0.00004474621,0.00001224272,0.002009679,0.00001483906,0.01727141,0.1737071,0.8034475,0.000719307],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5080152,0.001618707,0.01232763,0.00346372,0.001732622,0.001426458,0.0002411516,0.003076845,0.4680977],"genre_scores_gemma":[0.9790323,0.0007320411,0.01076906,0.001387625,0.000549802,0.0001677276,0.0001221247,0.0000860271,0.007153318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7786871,"threshold_uncertainty_score":0.9997998,"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."}}