{"id":"W2891515659","doi":"10.1177/0306312718801165","title":"Shortcut to success? Negotiating genetic uniqueness in global biomedicine","year":2018,"lang":"en","type":"article","venue":"Social Studies of Science","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Academy of Finland; Helsingin Yliopisto","keywords":"Biomedicine; Population; Negotiation; Politics; Diversity (politics); Competition (biology); Political science; Sociology; Biology; Social science; Genetics; Ecology; Law; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.08721622,0.0004093385,0.001384601,0.002797799,0.01468392,0.02081617,0.00208254,0.006552096,0.00984509],"category_scores_gemma":[0.1049007,0.0006780082,0.0004070852,0.001746499,0.07374217,0.02065127,0.02180797,0.005760083,0.0005894843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005358684,"about_ca_system_score_gemma":0.01020332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002670617,"about_ca_topic_score_gemma":0.003064936,"domain_scores_codex":[0.9449852,0.04143352,0.001087483,0.003964059,0.003553949,0.004975824],"domain_scores_gemma":[0.9079053,0.05896048,0.008080321,0.004248958,0.003788269,0.01701672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001280337,0.00007328288,0.01669654,0.0001196696,0.00007176602,0.0009026641,0.0555502,0.0005057271,0.0004084472,0.8848798,0.004297557,0.03636636],"study_design_scores_gemma":[0.00005385652,0.0001235781,0.006891387,0.0004266088,0.00004414592,0.0006559478,0.0886142,0.0008143869,0.0003238728,0.8668184,0.03516323,0.00007036222],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.45515,0.005601083,0.02484516,0.3110961,0.0009474176,0.0001220214,0.00008615262,0.00005915002,0.2020929],"genre_scores_gemma":[0.9910818,0.0003818998,0.001331097,0.005764333,0.0001573114,0.00004505353,0.000008214487,0.00002332928,0.001207024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9853161,"threshold_uncertainty_score":0.461249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076465598096276,"score_gpt":0.3565512301998091,"score_spread":0.3357865742188463,"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."}}