{"id":"W2587898185","doi":"10.1080/1369118x.2017.1285951","title":"‘Warren Buffet is my cousin’: shaping public understanding of big data biotechnology, direct-to-consumer genomics, and 23andMe on Twitter","year":2017,"lang":"en","type":"article","venue":"Information Communication & Society","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Framing (construction); Big data; Genomics; Cousin; Public discourse; Genomic medicine; Political science; Public relations; Sociology; Biotechnology; Data science; Genetics; Biology; Genome; Engineering; Computational biology; Computer science; Law; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007196605,0.0003918507,0.0003329263,0.001705757,0.009502843,0.01126949,0.0006542413,0.00360797,0.004706062],"category_scores_gemma":[0.02179175,0.0003996698,0.0002509742,0.001814726,0.01555975,0.01544531,0.00535108,0.004616375,0.0006407193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00399802,"about_ca_system_score_gemma":0.001904741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009968886,"about_ca_topic_score_gemma":0.009593868,"domain_scores_codex":[0.9945424,0.003935504,0.0001101173,0.0003105019,0.0006537384,0.0004476793],"domain_scores_gemma":[0.9841786,0.01275224,0.001362457,0.0004019534,0.0006878563,0.0006168251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006494724,0.00001708636,0.004599572,0.00008799395,0.000009004068,0.0004181979,0.934226,0.00005880075,0.001209357,0.04443651,0.006182478,0.008690082],"study_design_scores_gemma":[0.000007633849,0.00002594287,0.003659694,0.0002846387,0.0000136726,0.0001682719,0.8846326,0.0004243406,0.0005886,0.01205431,0.09810607,0.00003414757],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7365058,0.002388593,0.004463654,0.1573224,0.0009091202,0.00004634092,0.0001903545,0.00005939067,0.09811439],"genre_scores_gemma":[0.9885449,0.0007425633,0.0003504303,0.005912899,0.0002140494,0.00002601756,0.0000463379,0.00007292812,0.004089933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9904972,"threshold_uncertainty_score":0.03805971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3165800980545525,"score_gpt":0.3636618530665958,"score_spread":0.04708175501204326,"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."}}