{"id":"W2158598689","doi":"10.1186/1755-8794-5-31","title":"Patient-controlled encrypted genomic data: an approach to advance clinical genomics","year":2012,"lang":"en","type":"article","venue":"BMC Medical Genomics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Montreal Children's Hospital","funders":"","keywords":"Genomics; Exome sequencing; Exome; Precision medicine; Personalized medicine; Informed consent; Human genetics; Computational biology; Data science; Bioinformatics; Biology; Computer science; Genome; Medicine; Genetics; Mutation; 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":[0.02561639,0.0004569589,0.0007191704,0.001643091,0.0009356612,0.004777731,0.00321257,0.002411094,0.00991127],"category_scores_gemma":[0.06699415,0.0005094405,0.0009880606,0.002102851,0.002738796,0.008437888,0.007463087,0.004284685,0.002847263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591871,"about_ca_system_score_gemma":0.00471684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006616457,"about_ca_topic_score_gemma":0.0006108851,"domain_scores_codex":[0.975899,0.01593823,0.001386652,0.001735979,0.004558035,0.0004821138],"domain_scores_gemma":[0.9499284,0.02681587,0.002319086,0.01426783,0.005127118,0.001541703],"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":[0.001145413,0.0003464883,0.005817427,0.0006151276,0.0001485711,0.001632341,0.001751168,0.009620164,0.003567258,0.4648547,0.05001148,0.4604898],"study_design_scores_gemma":[0.0005657393,0.0004856063,0.001752269,0.0006428773,0.0001573475,0.004687269,0.0008574481,0.06027971,0.008907843,0.5807279,0.3407947,0.0001411686],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007559257,0.002021856,0.9170023,0.04011992,0.0010497,0.00108236,0.001134945,0.001363078,0.0286665],"genre_scores_gemma":[0.2935432,0.003749809,0.6788189,0.0102122,0.001856347,0.001397464,0.001966772,0.0003958284,0.008059424],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02561639,"threshold_uncertainty_score":0.135474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03751435884614641,"score_gpt":0.3215047739378696,"score_spread":0.2839904150917232,"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."}}