{"id":"W2132227433","doi":"10.1177/0162243913516808","title":"Personal Names","year":2014,"lang":"en","type":"article","venue":"Science Technology & Human Values","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personhood; Sociology; Subjectivity; Context (archaeology); Biopower; Identity (music); Aesthetics; Epistemology; History; Politics; Law; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["sts"],"domain":null,"study_design":"qualitative","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006086586,0.0001341581,0.0001239783,0.0001692302,0.0009737876,0.00004129138,0.0007039467,0.0002146439,0.00002440252],"category_scores_gemma":[0.0001872024,0.0001261061,0.00007297425,0.0003472243,0.005156199,0.000005929,0.0002664345,0.000130692,0.0000316336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001909517,"about_ca_system_score_gemma":0.00008873448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003669725,"about_ca_topic_score_gemma":0.000008590879,"domain_scores_codex":[0.9986483,0.00002363086,0.0001363263,0.0005654743,0.0002181889,0.0004080453],"domain_scores_gemma":[0.999235,0.000004863722,0.00006026281,0.0005042886,0.0001257748,0.00006983898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002069429,0.00003006255,0.01202763,0.000003861799,0.000009825905,4.339992e-7,0.0003057548,0.00000518978,0.9759458,0.006542459,0.001207766,0.00391914],"study_design_scores_gemma":[0.0005107679,0.0008970194,0.01444264,0.00001506405,0.00002049261,0.00003009844,0.002568032,0.0004513053,0.8951284,0.02562286,0.05980177,0.0005116017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916935,0.0004251293,0.000539188,0.000562785,0.0001692319,0.00007757179,0.000001857006,0.00009096258,0.006439764],"genre_scores_gemma":[0.9955966,0.00005138178,0.001791208,0.0002904383,0.000192252,0.00001106885,0.000005620225,0.00001209143,0.002049369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08081746,"threshold_uncertainty_score":0.9975512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008417501304723223,"score_gpt":0.2726127000958972,"score_spread":0.2641951987911739,"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."}}