{"id":"W2260269780","doi":"","title":"Introduction: biosocialities, genetics and the social sciences","year":2007,"lang":"en","type":"book-chapter","venue":"UCL Discovery (University College London)","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Biomedicine; Identity (music); Bioethics; State (computer science); Sociology; Political science; Social science; Biology; Genetics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0004239477,0.0003166973,0.0003448467,0.00008600287,0.001493749,0.00007731867,0.0004335517,0.0005469957,0.00007621229],"category_scores_gemma":[0.00001816108,0.0003026758,0.0003170595,0.00008796312,0.00317572,0.00001725644,0.0004430804,0.0002605796,0.00001223846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007514418,"about_ca_system_score_gemma":0.0003215209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003160733,"about_ca_topic_score_gemma":0.0002381656,"domain_scores_codex":[0.9984461,0.00006860078,0.0001820235,0.000658663,0.0003275087,0.0003170811],"domain_scores_gemma":[0.9992527,0.00003642509,0.0002038541,0.0003264164,0.0001183249,0.00006230602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006655169,0.00003783704,0.00006458315,0.00006642871,0.0005341116,0.00002945873,0.001137242,0.00001417844,0.0006141245,0.7970915,0.1986409,0.001104021],"study_design_scores_gemma":[0.001318741,0.0001429807,0.0001193707,0.00001168761,0.0001975665,0.00002136153,0.00305636,0.0000208741,0.0002151316,0.002407867,0.9920068,0.0004812688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1055241,0.01653848,0.001397577,0.01412738,0.002924384,0.001699252,0.0034565,0.00007926222,0.854253],"genre_scores_gemma":[0.02604885,0.007187278,0.0003077966,0.0007027961,0.003894909,7.842444e-7,0.0001824736,0.00004266881,0.9616324],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7946837,"threshold_uncertainty_score":0.9999425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01418150954512118,"score_gpt":0.2212996048648231,"score_spread":0.2071180953197019,"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."}}