{"id":"W2898159708","doi":"10.1101/453530","title":"Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Economic and Social Research Council; Medical Research Council; National Institute for Health and Care Research; Understanding Society; NIHR Cambridge Biomedical Research Centre; Wellcome Trust; University of Essex","keywords":"Osteoarthritis; Biobank; Disease; Medicine; Gene; Bioinformatics; Clinical trial; Genome-wide association study; Biology; Genetics; Internal medicine; Pathology; Single-nucleotide polymorphism; 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":[0.002048708,0.0002709275,0.0005756993,0.002055359,0.0003072743,0.001209759,0.0003023991,0.0004295105,0.006153928],"category_scores_gemma":[0.007182205,0.000169905,0.0004707659,0.003892973,0.0002837803,0.0003447786,0.0008666967,0.0003984259,0.0008906369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004122794,"about_ca_system_score_gemma":0.0006145088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007919106,"about_ca_topic_score_gemma":0.009171135,"domain_scores_codex":[0.9982483,0.0006931516,0.0002081657,0.0003993362,0.0002814978,0.0001694896],"domain_scores_gemma":[0.9966674,0.001354663,0.001170922,0.0003296587,0.0002927039,0.0001845543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001682647,0.0001194845,0.9101495,0.0005851188,0.001039603,0.001057607,0.0006129852,0.00096796,0.02702403,0.0009475552,0.009774651,0.04603881],"study_design_scores_gemma":[0.0001251438,0.0001368229,0.9805676,0.0001010269,0.0005320132,0.0005648714,0.0002627876,0.001032019,0.003161897,0.0004479279,0.01304482,0.00002310072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636828,0.004141429,0.003771236,0.001184145,0.00004270357,0.00006917422,0.02411567,0.0000987153,0.00289418],"genre_scores_gemma":[0.9770762,0.0009691761,0.004389841,0.0003345731,0.0000393585,0.00007078607,0.01567427,0.00004135544,0.001404372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007919106,"threshold_uncertainty_score":0.02058697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03774309708368854,"score_gpt":0.2902023966698881,"score_spread":0.2524592995861995,"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."}}