{"id":"W7084036673","doi":"10.64628/aam.7r3xk4fg4","title":"What users need to know about privacy and data after 23andMe’s bankruptcy filing","year":2025,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Need to know; Confidentiality; Bankruptcy; Information privacy; Data breach; Identity theft","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002109328,0.00009763829,0.0001318654,0.00008995344,0.00006212912,0.0001816279,0.0001542575,0.00005023873,0.0002567544],"category_scores_gemma":[0.0003060056,0.00008421719,0.00001723232,0.0001545243,0.00001153709,0.0005452285,0.0002544145,0.00005530745,0.00002185167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001921133,"about_ca_system_score_gemma":0.00001959564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003245286,"about_ca_topic_score_gemma":0.0001365996,"domain_scores_codex":[0.9992915,0.00002007435,0.0002275547,0.0002302321,0.0001011264,0.0001295353],"domain_scores_gemma":[0.9991197,0.0001674454,0.00003616024,0.0005827475,0.00003790954,0.00005605216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003308804,0.0003225804,0.1336613,0.001299864,0.0001893667,0.00001287531,0.008904931,0.0002190838,0.0005517543,0.2393275,0.3619753,0.2532046],"study_design_scores_gemma":[0.002680158,0.00007864111,0.249054,0.002537974,0.0003452165,0.00001166955,0.002167851,0.1328957,0.0009055327,0.1258514,0.4823096,0.001162202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559209,0.0006823299,0.03046047,0.008033374,0.0006513078,0.0006382106,0.0000322494,0.0001730842,0.003408035],"genre_scores_gemma":[0.9353853,0.0001435376,0.05429756,0.001268261,0.0000548831,0.00001857498,0.00011011,0.00001742778,0.008704385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2520424,"threshold_uncertainty_score":0.3434277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06239221853434822,"score_gpt":0.3766089075868446,"score_spread":0.3142166890524963,"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."}}