{"id":"W2565369859","doi":"10.14318/hau6.3.023","title":"Voicing the ancestors","year":2016,"lang":"en","type":"article","venue":"Hau Journal of Ethnographic Theory","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Voice; Linguistics; Philosophy","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":[0.00156052,0.0001069687,0.0001260663,0.00004833991,0.0001859975,0.00002023159,0.0003448086,0.0001139068,0.00002258666],"category_scores_gemma":[0.0001979614,0.00005296759,0.0002875761,0.00009761839,0.0005711617,0.000005317614,0.0000474653,0.0001400146,0.000002863671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006304788,"about_ca_system_score_gemma":0.00007628356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001347226,"about_ca_topic_score_gemma":0.000006413595,"domain_scores_codex":[0.99905,0.0002085899,0.0002626441,0.0001230055,0.0001651837,0.0001905907],"domain_scores_gemma":[0.999138,0.0000926288,0.0002451011,0.0002949184,0.0001545038,0.00007483574],"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":[0.000244366,0.00006382217,0.01418239,0.00001162857,0.000343129,0.000008980407,0.001865513,0.00003093557,0.9363487,0.003363353,0.005902127,0.03763503],"study_design_scores_gemma":[0.004305272,0.00234772,0.0471554,0.000428963,0.0003333929,0.0005193779,0.01094956,0.000007523412,0.5281006,0.06318824,0.3416986,0.0009653037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814872,0.006656564,0.009903681,0.0007640331,0.0005365644,0.00004776159,0.000002678916,0.000003980059,0.0005976071],"genre_scores_gemma":[0.9954765,0.002606257,0.0002390991,0.0004657627,0.000675667,0.000001336566,4.526361e-7,0.00001493722,0.0005199586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4082481,"threshold_uncertainty_score":0.2159956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01217230785789092,"score_gpt":0.2536049072815121,"score_spread":0.2414325994236212,"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."}}