{"id":"W2002699438","doi":"10.1159/000294275","title":"Introduction: The Age of Personal Genomics?","year":2010,"lang":"en","type":"article","venue":"Public Health Genomics","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Alberta","funders":"","keywords":"Personal genomics; Genomics; Medicine; Gerontology; Genome; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001102528,0.0001266561,0.000163723,0.00002401465,0.0002581469,0.00004059715,0.0003257359,0.0001586116,0.0000684675],"category_scores_gemma":[0.0001177493,0.0001073981,0.0001212261,0.00007689193,0.0002870547,0.000003305682,0.0001185506,0.000259747,0.0000125381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004408801,"about_ca_system_score_gemma":0.0008440153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003708307,"about_ca_topic_score_gemma":0.000154262,"domain_scores_codex":[0.9987807,0.00007552355,0.0003158887,0.0003245648,0.0001171698,0.0003861668],"domain_scores_gemma":[0.9989935,0.00001278685,0.0001606321,0.0005524843,0.0001212983,0.0001593254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003832994,0.0002057915,0.002534615,0.00009690424,0.0001600452,8.03679e-7,0.007279608,0.00004053886,0.8536175,0.00226908,0.1009436,0.03281312],"study_design_scores_gemma":[0.0002131665,0.0001006728,0.003674049,5.035167e-7,0.000004030967,0.00001851359,0.0007320674,0.00008066724,0.004660829,0.00006136514,0.9903434,0.0001107728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611161,0.0008464479,0.00115666,0.0344945,0.001343764,0.0002417313,0.00003922674,0.000009997319,0.0007515747],"genre_scores_gemma":[0.98219,0.001756959,0.003844676,0.004321807,0.006005596,0.00002040846,0.0002685861,0.00003983356,0.001552205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8893997,"threshold_uncertainty_score":0.4379568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01676992882992291,"score_gpt":0.2596995134079577,"score_spread":0.2429295845780348,"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."}}