{"id":"W2074217882","doi":"10.1515/jibl.2009.35","title":"The Age of Personalized Genomics","year":2009,"lang":"en","type":"article","venue":"Journal of International Biotechnology Law","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Genomics; Personalized medicine; Computational biology; Biology; Genetics; Genome; Gene","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":[0.0004410991,0.00007718222,0.0001290437,0.00008068094,0.00005817117,0.00002091544,0.0007072291,0.0002286647,0.00001103908],"category_scores_gemma":[0.0003316475,0.00004977771,0.0001383605,0.00005534097,0.0006217803,0.000004240755,0.00008753076,0.0002075021,0.000003758896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002476879,"about_ca_system_score_gemma":0.00008214692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000299929,"about_ca_topic_score_gemma":0.0000090387,"domain_scores_codex":[0.9990168,0.00002154167,0.0004392829,0.00007533115,0.0002956302,0.0001513667],"domain_scores_gemma":[0.9991882,0.00002605883,0.0002735866,0.0001649541,0.0003027984,0.00004439286],"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":[0.000280728,0.00009059534,0.00008437735,0.000004909808,0.0001763141,0.00001493911,0.00003763854,0.000007914742,0.9438747,0.02990131,0.003757646,0.02176893],"study_design_scores_gemma":[0.0005370683,0.0007138788,0.0004228789,0.00001187039,0.000008620365,0.0001146286,0.0001136118,0.00003621018,0.3718022,0.002369475,0.6238117,0.00005786682],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.913586,0.004918033,0.01171038,0.05357436,0.001656334,0.0002494289,0.00004604094,0.00001512076,0.01424434],"genre_scores_gemma":[0.9885074,0.006210345,0.003688763,0.0007997563,0.000257968,6.042624e-7,0.00001695554,0.000005293277,0.0005129093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.620054,"threshold_uncertainty_score":0.2290975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057215040221712,"score_gpt":0.2795988283682477,"score_spread":0.2690266779660306,"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."}}