{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02213958,0.0006188275,0.001240392,0.001677749,0.007126026,0.01213682,0.001587279,0.01786279,0.01385866],"category_scores_gemma":[0.04792716,0.0006432995,0.0006586328,0.001149554,0.03418704,0.03346876,0.008076907,0.03137464,0.003067068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005606282,"about_ca_system_score_gemma":0.006632967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003298535,"about_ca_topic_score_gemma":0.002946059,"domain_scores_codex":[0.987133,0.006060977,0.0003841217,0.001737934,0.003717403,0.0009666686],"domain_scores_gemma":[0.9721862,0.01728316,0.00136641,0.003924205,0.002579786,0.00266024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002638767,0.0000199445,0.0002448079,0.0000381282,0.00000887769,0.00006908972,0.001537782,0.00007367444,0.0001040756,0.9260335,0.06040013,0.0114436],"study_design_scores_gemma":[0.00002578292,0.00002049909,0.0004130245,0.0001915963,0.00001072087,0.0001445111,0.001094139,0.0001952617,0.0001360892,0.6717074,0.3260364,0.00002446261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00324867,0.02125518,0.007796395,0.8654162,0.005808314,0.00002027438,0.0001448793,0.0001331276,0.09617706],"genre_scores_gemma":[0.2676664,0.02135241,0.007305998,0.6228117,0.02906182,0.0002067172,0.000202722,0.0003793213,0.05101293],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02213958,"threshold_uncertainty_score":0.1170867,"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."}}