{"id":"W2084717763","doi":"10.1111/cge.12579","title":"The <scp>SickKids</scp> Genome Clinic: developing and evaluating a pediatric model for individualized genomic medicine","year":2015,"lang":"en","type":"review","venue":"Clinical Genetics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Hospital for Sick Children","keywords":"Genome; Genomic medicine; Computational biology; Genetics; Medicine; Pediatrics; Biology; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003365395,0.0004804493,0.0007467382,0.001911168,0.0004701779,0.001716234,0.001155993,0.00213206,0.002004743],"category_scores_gemma":[0.004295028,0.0002699559,0.0004995717,0.00189079,0.001597417,0.003030351,0.001117525,0.003548749,0.001098763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002445937,"about_ca_system_score_gemma":0.004254187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002880495,"about_ca_topic_score_gemma":0.004712866,"domain_scores_codex":[0.9992593,0.0003128493,0.00008838924,0.00007292714,0.0002244682,0.00004213299],"domain_scores_gemma":[0.9969901,0.001983899,0.0002024128,0.00008888629,0.0005479649,0.0001866648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004134288,0.00003941434,0.0003536768,0.009115836,0.00005930011,0.0003232792,0.000189539,0.0004213283,0.0002949911,0.03855707,0.06195618,0.8886481],"study_design_scores_gemma":[0.00001260936,0.00003993617,0.0007882182,0.007778226,0.00004380479,0.001546799,0.0001438752,0.0001274324,0.0001652917,0.006332282,0.9830003,0.00002126124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001161386,0.992932,0.0005088549,0.003935968,0.0004955577,0.000008372187,0.00001301777,0.00001382261,0.00197626],"genre_scores_gemma":[0.001508257,0.9939506,0.001531141,0.002001389,0.0003656315,0.00001583699,0.00002274527,0.000006067301,0.0005983493],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003365395,"threshold_uncertainty_score":0.01779813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2562325552336077,"score_gpt":0.482919392998525,"score_spread":0.2266868377649173,"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."}}