{"id":"W2150211930","doi":"10.1111/j.1399-0004.2010.01609.x","title":"Personalized medicine - the promised land: are we there yet?","year":2010,"lang":"en","type":"review","venue":"Clinical Genetics","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre","funders":"","keywords":"Personalized medicine; Precision medicine; Geneticist; Human genome; Genetics; Genome; Personal genomics; Genetic testing; Genomics; Genome-wide association study; Penetrance; Human genetics; Computational biology; Biology; Medicine; Bioinformatics; Single-nucleotide polymorphism; Gene; Genotype","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":[0.02372306,0.0009832451,0.001890803,0.002564641,0.003242773,0.01594119,0.001973976,0.00887531,0.02957773],"category_scores_gemma":[0.04056968,0.0005471657,0.001133258,0.003166588,0.01338254,0.02636557,0.00642993,0.01871854,0.01403011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007748139,"about_ca_system_score_gemma":0.009335543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00325187,"about_ca_topic_score_gemma":0.004919914,"domain_scores_codex":[0.9776683,0.0107186,0.001163961,0.001831076,0.00750417,0.001113912],"domain_scores_gemma":[0.9713468,0.0149444,0.001610889,0.002581987,0.005941139,0.003574765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001156013,0.00004700635,0.001110383,0.00103607,0.000110208,0.0002030058,0.0005851071,0.0003089001,0.0003382575,0.1499683,0.6621214,0.1840558],"study_design_scores_gemma":[0.00003824881,0.00006817431,0.001059032,0.002356046,0.0000503526,0.0004646385,0.0008432389,0.0002790102,0.0002076915,0.1580538,0.8365058,0.00007398847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.0006207907,0.06510114,0.00632059,0.8898369,0.0114061,0.0000576783,0.0005539349,0.0002320679,0.02587076],"genre_scores_gemma":[0.05198689,0.1718515,0.03569987,0.6715477,0.02941318,0.000407871,0.001861373,0.0007096532,0.03652181],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02957773,"threshold_uncertainty_score":0.125461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1191512873922392,"score_gpt":0.4247189971057527,"score_spread":0.3055677097135135,"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."}}