{"id":"W3137133047","doi":"10.3899/jrheum.201256","title":"From Prehistory to Precision Medicine: Are Genetic Risk Scores Our Next Step?","year":2021,"lang":"en","type":"editorial","venue":"The Journal of Rheumatology","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heredity; Mendelian inheritance; Galton's problem; Inheritance (genetic algorithm); Nature versus nurture; Genealogy; Population; Cousin; Genetics; Multifactorial Inheritance; Evolutionary biology; Biology; Demography; Single-nucleotide polymorphism; History; Sociology; Gene; Genotype","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02703797,0.001164219,0.00316995,0.004394458,0.001840784,0.007745456,0.002916795,0.006288126,0.01004122],"category_scores_gemma":[0.1103971,0.0006401022,0.0008254994,0.004791168,0.009220397,0.01000499,0.003716413,0.009699265,0.003182269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004624746,"about_ca_system_score_gemma":0.004915333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006325594,"about_ca_topic_score_gemma":0.006732409,"domain_scores_codex":[0.9887688,0.005753104,0.0009028304,0.00157415,0.002602279,0.000398811],"domain_scores_gemma":[0.9135044,0.05934818,0.004423663,0.005333487,0.01389707,0.003493159],"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":[0.0005669934,0.0001396717,0.04196083,0.003005887,0.001053632,0.000468289,0.001897223,0.0006719006,0.0003148145,0.1348693,0.2097315,0.6053199],"study_design_scores_gemma":[0.0001406417,0.0002486864,0.02148314,0.01149839,0.0006041279,0.000843771,0.001503888,0.001086483,0.0004124231,0.5147197,0.4472021,0.0002566792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"editorial","genre_scores_codex":[0.004343165,0.4981311,0.01363896,0.4598888,0.01110433,0.00003482719,0.001424516,0.0002156987,0.01121862],"genre_scores_gemma":[0.1362974,0.5167086,0.02142109,0.2560995,0.0628958,0.0002704141,0.001532514,0.0003210383,0.00445369],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02703797,"threshold_uncertainty_score":0.1429922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112317048750689,"score_gpt":0.276260534848979,"score_spread":0.2651373643614721,"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."}}