{"id":"W2902190679","doi":"10.1111/cts.12607","title":"Considerations for Implementing Precision Therapeutics for Children","year":2018,"lang":"en","type":"article","venue":"Clinical and Translational Science","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; American Heart Association","keywords":"Drug development; Population; Drug; Medicine; Drug response; Ontogeny; Broad spectrum; Pharmacology; Bioinformatics; Computational biology; Biology; Internal medicine; Environmental health; Chemistry","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":[0.04364517,0.001452255,0.0011764,0.001860753,0.002822374,0.008346929,0.004207757,0.01657996,0.03448771],"category_scores_gemma":[0.1015288,0.0006216535,0.002338398,0.0009931439,0.00499447,0.01030282,0.00740878,0.0175054,0.009243309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004590062,"about_ca_system_score_gemma":0.03408055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005838884,"about_ca_topic_score_gemma":0.008179856,"domain_scores_codex":[0.9749979,0.01158038,0.002850543,0.001885955,0.006885495,0.001799784],"domain_scores_gemma":[0.9246491,0.03559721,0.004816627,0.005622643,0.01728369,0.01203079],"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":[0.0003815124,0.0005641758,0.004337436,0.001684592,0.0001896952,0.001545062,0.001258066,0.003130591,0.001819712,0.151096,0.3692522,0.464741],"study_design_scores_gemma":[0.0001579225,0.0005810618,0.002781508,0.003943307,0.0001073318,0.001843392,0.001426893,0.0006282267,0.0009078865,0.0641192,0.9234067,0.00009671183],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001719751,0.02947221,0.02546713,0.8895103,0.008427571,0.000388928,0.0002017414,0.0005736199,0.04423872],"genre_scores_gemma":[0.0690885,0.07765713,0.3049729,0.4968514,0.0210789,0.002358947,0.0005143024,0.0004216077,0.02705637],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04364517,"threshold_uncertainty_score":0.2308205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3704072720802443,"score_gpt":0.5493672067562514,"score_spread":0.1789599346760071,"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."}}