{"id":"W2337640544","doi":"","title":"When Biometrics Fail: Gender, Race and the Technology of Identity","year":2013,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biometrics; Identity (music); Fetishism; Sociology; Identification (biology); Computer science; Aesthetics; Computer security; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005051383,0.0004875175,0.0005924405,0.0009627426,0.008004024,0.01141268,0.001087457,0.00377245,0.006320468],"category_scores_gemma":[0.009171178,0.0002973169,0.000251047,0.001578893,0.02362146,0.01340544,0.00451005,0.004887179,0.001693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005066121,"about_ca_system_score_gemma":0.003283337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01361771,"about_ca_topic_score_gemma":0.01345397,"domain_scores_codex":[0.995742,0.002809676,0.00006642325,0.0002551271,0.0006272114,0.0004994646],"domain_scores_gemma":[0.9953295,0.003378731,0.0003143716,0.0001832602,0.000383148,0.0004109378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005422463,0.0000300557,0.001544361,0.0001149305,0.000005140369,0.0003984056,0.1417979,0.00007089195,0.0001435403,0.6343241,0.1462187,0.0752977],"study_design_scores_gemma":[0.00001192659,0.00005307683,0.00375645,0.001014726,0.000009768922,0.0006735072,0.1571198,0.0001511211,0.0002542159,0.1854283,0.6514787,0.00004836892],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03212463,0.1424729,0.003632379,0.4014775,0.00563132,0.00003262502,0.00009736114,0.00006823109,0.414463],"genre_scores_gemma":[0.7455854,0.07434223,0.001416702,0.03909881,0.003629568,0.0001386341,0.00009342926,0.0001366942,0.1355586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.991996,"threshold_uncertainty_score":0.03675747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276287248804924,"score_gpt":0.2409304806660666,"score_spread":0.2281676081780173,"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."}}