{"id":"W4253308653","doi":"10.32920/ryerson.14647152.v1","title":"Witnessing the Genetic Self: How Non-Specialists use Reveal Videos to Approach Genetics and Race Through Direct-To-Consumer Genetic Ancestry Testing","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Rhetoric and Communication Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation; Mount Royal University; York University","funders":"","keywords":"Genetic genealogy; Race (biology); Test (biology); Narrative; Interpretation (philosophy); Identity (music); Intersectionality; Sociology; Genetics; Computer science; Biology; Gender studies; Art; Aesthetics","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002055645,0.0005128224,0.0006484392,0.00006691651,0.001281739,0.002453288,0.00070616,0.0001460843,0.00003633622],"category_scores_gemma":[0.000149166,0.0003834706,0.0001068848,0.0001473141,0.0003326446,0.0001444688,0.002315249,0.0005131724,0.00001062865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007936146,"about_ca_system_score_gemma":0.0001664138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007971806,"about_ca_topic_score_gemma":0.0004952281,"domain_scores_codex":[0.9976097,0.0002394125,0.0004982445,0.0008322903,0.0003899455,0.0004303837],"domain_scores_gemma":[0.9971765,0.0004565259,0.0002701011,0.001410675,0.0005554204,0.0001308203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006665972,0.0007240409,0.06512628,0.001678609,0.00198057,0.0000572437,0.7521508,0.006112601,0.000314882,0.0050189,0.06586341,0.100906],"study_design_scores_gemma":[0.0007005565,0.0001476484,0.1683318,0.001204018,0.0008877105,0.00006840562,0.05663161,0.00449274,0.00016521,0.0007904246,0.7635247,0.003055139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8492561,0.0282669,0.01081995,0.00320808,0.001716612,0.002282161,0.00005865323,0.000366261,0.1040253],"genre_scores_gemma":[0.807413,0.003105032,0.1753552,0.00141534,0.001548425,0.0004425918,0.0000176363,0.00008856309,0.0106142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6976613,"threshold_uncertainty_score":0.9998617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1626301221689159,"score_gpt":0.2917609967273701,"score_spread":0.1291308745584542,"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."}}