{"id":"W7084153509","doi":"10.64628/aam.wnph7e7ye","title":"With 23andMe filing for bankruptcy, what happens to consumers’ genetic data?","year":2025,"lang":"en","type":"article","venue":"","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Inheritance (genetic algorithm); Government (linguistics); Identification (biology); Term (time)","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":[0.04714895,0.0005985826,0.0009993988,0.002806869,0.005509909,0.01400804,0.002665499,0.0114814,0.04025563],"category_scores_gemma":[0.2252795,0.0006707477,0.0008786634,0.003451978,0.007397014,0.01366529,0.003698979,0.009971677,0.006334208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005009115,"about_ca_system_score_gemma":0.006828032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04636076,"about_ca_topic_score_gemma":0.06057925,"domain_scores_codex":[0.9704114,0.01258712,0.002071355,0.005621668,0.007183517,0.002124889],"domain_scores_gemma":[0.8564389,0.07909391,0.009002611,0.02532068,0.02693432,0.003209565],"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":[0.0002819603,0.0002286073,0.06717182,0.0002886829,0.0002513395,0.002271442,0.006078862,0.001436918,0.001999009,0.4726076,0.3145787,0.132805],"study_design_scores_gemma":[0.00006891257,0.00008993329,0.03292234,0.0006062181,0.0001801144,0.001124456,0.005802381,0.004928887,0.003101197,0.3462376,0.6046762,0.0002617661],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06175802,0.003030754,0.04141057,0.6872117,0.007342826,0.0001479486,0.00575322,0.0007874367,0.1925576],"genre_scores_gemma":[0.5861382,0.002607961,0.04451777,0.2078299,0.006336673,0.000438881,0.004738283,0.0007960044,0.1465964],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04714895,"threshold_uncertainty_score":0.2493504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194708366774215,"score_gpt":0.2885005273055196,"score_spread":0.2565534436377774,"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."}}