{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005525054,0.0004529963,0.00117348,0.00002756454,0.0001267466,0.00003430978,0.0008852359,0.0009791767,0.0001443418],"category_scores_gemma":[0.0004834291,0.0002429278,0.0008864285,0.00008852056,0.0006682358,5.679009e-7,0.0002878678,0.0006562925,0.00005953552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007372131,"about_ca_system_score_gemma":0.0004129588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000237658,"about_ca_topic_score_gemma":0.00002142132,"domain_scores_codex":[0.9975625,0.0003521994,0.0008971266,0.0006764237,0.0001944811,0.0003172571],"domain_scores_gemma":[0.9976768,0.000221815,0.0005883974,0.00114915,0.000119077,0.0002446988],"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":[0.00004194227,0.0001701401,0.0002126624,0.001716831,0.0004202045,0.00003038888,0.00001921289,6.702683e-7,0.00002553397,0.00003185811,0.02283246,0.9744981],"study_design_scores_gemma":[0.0005609712,0.0002301543,0.00006757408,0.001089408,0.0008451953,0.00003240139,0.00002632648,0.000003221979,0.000003042324,0.00009369307,0.9967182,0.0003298634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006129035,0.9962248,0.00001489929,0.0004983348,0.001111595,0.0007695023,0.0001703825,0.00001321584,0.0005843557],"genre_scores_gemma":[0.00008933809,0.9927246,0.0001181038,0.0004763407,0.002703347,0.00007874797,0.0004921695,0.00009272696,0.003224601],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9741682,"threshold_uncertainty_score":0.9906306,"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."}}