{"id":"W4366590357","doi":"10.1007/s11196-023-09994-x","title":"Queer Privacy Protection: Challenges and the Fight within Libraries","year":2023,"lang":"en","type":"article","venue":"International Journal for the Semiotics of Law - Revue internationale de Sémiotique juridique","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Killam Trusts; Association for Library and Information Science Education","keywords":"Queer; Sociology; Political science; Internet privacy; Law; Computer science; Gender studies","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":[0.004353334,0.0001748593,0.00023786,0.0001888509,0.0007849265,0.0004108248,0.001838118,0.00017936,0.00003834628],"category_scores_gemma":[0.005549597,0.0001222664,0.0002349044,0.0001441631,0.0007111412,0.000745927,0.0004227795,0.0005835693,0.000008848388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071383,"about_ca_system_score_gemma":0.0004104783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009106895,"about_ca_topic_score_gemma":0.001567067,"domain_scores_codex":[0.9977387,0.0004590934,0.0006145639,0.0002419971,0.0006665722,0.0002791273],"domain_scores_gemma":[0.9959589,0.002147448,0.0005873497,0.000297278,0.0009048531,0.0001041412],"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":[0.000316762,0.0000435402,0.00005737304,0.0000476041,0.0003343904,0.00001110488,0.01679819,0.0003338685,0.0001027146,0.9760395,0.00198089,0.003934027],"study_design_scores_gemma":[0.001055841,0.0000602584,0.0006327559,0.0002782423,0.00004773201,0.0002147739,0.001427877,0.004583838,0.001792923,0.6411303,0.3486047,0.0001707801],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04205227,0.008898337,0.04229118,0.8672909,0.01373318,0.004308581,0.0003290261,0.0003956845,0.02070085],"genre_scores_gemma":[0.9595471,0.02963237,0.002014758,0.001252918,0.004205068,0.0002807075,0.0000270551,0.00004674167,0.002993283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9174948,"threshold_uncertainty_score":0.6643787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05660373447702571,"score_gpt":0.3246170049170183,"score_spread":0.2680132704399926,"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."}}