{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006430228,0.0008563583,0.0005855581,0.001847632,0.002200756,0.003548964,0.001178249,0.001256962,0.4196263],"category_scores_gemma":[0.004192438,0.0002958592,0.0003996335,0.001473881,0.0007805214,0.003544936,0.001778898,0.003136656,0.2511547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855278,"about_ca_system_score_gemma":0.00150428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002835721,"about_ca_topic_score_gemma":0.003314317,"domain_scores_codex":[0.999507,0.00006219812,0.00002990906,0.00009632001,0.0002626497,0.00004204388],"domain_scores_gemma":[0.9984446,0.0003106815,0.00006960859,0.0001435404,0.0007650788,0.0002664124],"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":[0.00001419536,0.00001896475,0.00005313935,0.00009932282,0.000001089898,0.00004442127,0.0001448494,0.0000448827,0.0001189673,0.0100612,0.9431045,0.04629453],"study_design_scores_gemma":[0.000001045585,0.000004920543,0.00007808196,0.00006995245,4.21274e-7,0.00004356049,0.00003950267,0.000009980852,0.00002665838,0.001328068,0.9983962,0.000001664127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008546731,0.01500822,0.003292164,0.01458551,0.06696833,0.0002491067,0.003500854,0.0008709318,0.8946701],"genre_scores_gemma":[0.0037537,0.006612403,0.001278067,0.003201798,0.01089919,0.0001121856,0.002594894,0.0004883431,0.9710594],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4196263,"threshold_uncertainty_score":0,"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."}}