{"id":"W3047331065","doi":"10.1080/14636778.2020.1799343","title":"The consumer representation of DNA ancestry testing on YouTube","year":2020,"lang":"en","type":"article","venue":"New Genetics and Society","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Alberta","funders":"Canadian Institutes of Health Research; Genome Alberta; Genome Canada","keywords":"Genetic genealogy; Ethnic group; Race (biology); Representation (politics); Promotion (chess); Identity (music); Social media; Phrase; Psychology; Sociology; Anthropology; Gender studies; Computer science; World Wide Web; Political science; Demography; Law; Politics; Aesthetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004357878,0.00007101863,0.00006748456,0.000002117312,0.00007138312,0.00001634361,0.00007139131,0.00005894975,0.000001217368],"category_scores_gemma":[0.00006747385,0.00005675409,0.00005257456,0.00006073617,0.00005407468,7.202697e-7,0.00004905329,0.00005237888,6.030025e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001638819,"about_ca_system_score_gemma":0.00002762368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005884929,"about_ca_topic_score_gemma":0.000001921179,"domain_scores_codex":[0.9995374,0.000009723513,0.0001149912,0.0001593793,0.00007744098,0.0001010777],"domain_scores_gemma":[0.9996961,0.0000285748,0.00003758961,0.0001307968,0.00003781546,0.00006906391],"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":[0.00001923719,0.00001137093,0.008916391,0.00002751031,0.00006536528,3.070804e-7,0.000745078,0.002069369,0.9383678,0.00006038841,0.008233977,0.04148319],"study_design_scores_gemma":[0.0008272962,0.0005814887,0.03345519,0.00001647043,0.00003889046,0.000004226763,0.001386072,0.007948794,0.9241973,0.0001048709,0.03118878,0.0002506046],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929892,0.002816744,0.003060614,0.0004347024,0.00006864592,0.00008408442,0.000005811902,0.000006510582,0.0005336376],"genre_scores_gemma":[0.9948115,0.001846695,0.002708328,0.0003226798,0.0002197016,0.000001550859,0.000007294219,0.000009618958,0.00007263228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04123259,"threshold_uncertainty_score":0.2314364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842493702971653,"score_gpt":0.3211931823059316,"score_spread":0.282768245276215,"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."}}