{"id":"W7126078228","doi":"10.1007/978-3-031-76422-6_751","title":"Privacy","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Information privacy; Process (computing); Confidentiality; Identification (biology); Patient privacy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001435974,0.0007162883,0.000464348,0.001190553,0.002762235,0.007763639,0.001071294,0.002960074,0.1462944],"category_scores_gemma":[0.003516803,0.0005186519,0.0005257184,0.001297663,0.003664783,0.006918284,0.00334284,0.004261467,0.07766898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002555866,"about_ca_system_score_gemma":0.002543961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002978034,"about_ca_topic_score_gemma":0.003479234,"domain_scores_codex":[0.9981601,0.0003937928,0.00006602255,0.0004096247,0.0008037305,0.0001666866],"domain_scores_gemma":[0.9989668,0.0002980268,0.0000413306,0.0003918359,0.0002440515,0.00005802964],"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":[0.000006361527,0.00000994844,0.00004051154,0.00004224715,0.000002554795,0.0000305614,0.0003719106,0.00008794438,0.0001586547,0.8461306,0.1208732,0.03224551],"study_design_scores_gemma":[0.000001608693,0.000003467396,0.00005584438,0.00005324563,0.000001784621,0.00008449356,0.00008016697,0.00008585559,0.0001879864,0.09245265,0.9069888,0.000004188125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002396378,0.0009068958,0.005015268,0.002403317,0.0002480487,0.00003442181,0.0002282825,0.0001158922,0.9908083],"genre_scores_gemma":[0.01322674,0.001596344,0.002509535,0.003024117,0.0003493137,0.00008506914,0.000369495,0.0001418718,0.9786975],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1462944,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03702210071280535,"score_gpt":0.3065053879988174,"score_spread":0.269483287286012,"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."}}