{"id":"W4248397850","doi":"10.1017/cbo9781139542302.001","title":"Preface","year":2014,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009101292,0.0003411753,0.0002842393,0.00003640312,0.0001692524,0.00002553232,0.0004682108,0.0006979294,0.000003823263],"category_scores_gemma":[0.00001001475,0.0004174601,0.0003150449,0.00000274067,0.0002865896,0.000001356052,0.000408633,0.000257364,0.00001963052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004466458,"about_ca_system_score_gemma":0.0001034729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002056328,"about_ca_topic_score_gemma":0.000002961447,"domain_scores_codex":[0.9987591,0.00003433608,0.0001437048,0.0006253317,0.0001709919,0.0002665207],"domain_scores_gemma":[0.9987186,0.0000102262,0.0001588062,0.000805716,0.000141068,0.0001655404],"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":[0.0001806952,0.00001821711,0.00001253231,0.0001707775,0.0005905897,0.00005134123,0.00007789502,0.00002487996,0.01351612,0.4677304,0.5149515,0.00267501],"study_design_scores_gemma":[0.0004407039,0.0001166803,0.00001355887,0.00003380194,0.0001201927,0.000007836717,0.00001932827,0.000014643,0.007569149,0.000003839843,0.9912049,0.0004553621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001222758,0.0004754063,0.001646279,0.00001193885,0.0002524212,0.0002583182,0.0001542357,0.00003889775,0.9959397],"genre_scores_gemma":[0.004083467,0.0006519308,0.0001886805,0.0001598296,0.0004887322,5.77124e-7,0.0002033231,0.00006271937,0.9941607],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4762534,"threshold_uncertainty_score":0.9998277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0114978240864647,"score_gpt":0.1906498038893701,"score_spread":0.1791519798029055,"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."}}