{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003095023,0.0009764745,0.0006361263,0.001345261,0.001421403,0.002860968,0.0007397238,0.001235001,0.0670037],"category_scores_gemma":[0.0009168263,0.000313991,0.0004710573,0.002029643,0.001349822,0.002781822,0.000975049,0.00339716,0.02873442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235744,"about_ca_system_score_gemma":0.001341353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002047548,"about_ca_topic_score_gemma":0.004606366,"domain_scores_codex":[0.9997253,0.00005645587,0.00001116866,0.0000440461,0.0001354172,0.00002758788],"domain_scores_gemma":[0.9993637,0.0003545698,0.00002669638,0.00002981886,0.0001455493,0.0000796481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001157501,0.00002532307,0.00008699998,0.0001881495,0.000004042949,0.00005236805,0.0005865438,0.000149723,0.0002208266,0.05723125,0.8912568,0.0501864],"study_design_scores_gemma":[0.000001457644,0.000004271974,0.0001381828,0.0001107338,9.063874e-7,0.00005800454,0.00007700991,0.00003195181,0.00002068503,0.008470562,0.9910835,0.000002721865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009122787,0.07450225,0.00471853,0.02274472,0.01325729,0.0001277656,0.0008593783,0.0004972953,0.8823805],"genre_scores_gemma":[0.006632487,0.04422655,0.004611788,0.01024443,0.005373139,0.0001508306,0.0008231517,0.0003352152,0.9276024],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0670037,"threshold_uncertainty_score":0.2241497,"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."}}