{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001142033,0.00004191084,0.00009094313,0.00001498025,0.0006565919,0.00003219103,0.00003102943,0.00002281946,0.00005274283],"category_scores_gemma":[0.0004460076,0.00002927899,0.00004827044,0.00007192357,0.000663094,0.0001098662,0.00001333143,0.00004720256,0.000001766237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001691578,"about_ca_system_score_gemma":0.00008148357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001443118,"about_ca_topic_score_gemma":0.00000751516,"domain_scores_codex":[0.9993051,0.00001002989,0.0002189922,0.0001897263,0.0001266566,0.0001494802],"domain_scores_gemma":[0.9978322,0.001794501,0.00003671525,0.00004451246,0.0002099112,0.00008217438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007353565,0.000314007,0.4007184,0.00002881225,0.0001523462,2.236255e-7,0.000364983,9.100953e-7,0.002803708,0.06418858,0.0008910726,0.5298017],"study_design_scores_gemma":[0.002900107,0.0007396759,0.8124933,0.00001691646,0.0001955251,0.0000114776,0.00002248448,0.005651217,0.001103143,0.07365945,0.1031074,0.00009922007],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8898178,0.0006605607,0.04827183,0.05550121,0.0003872002,0.001978209,0.0001378652,0.00003825598,0.003207039],"genre_scores_gemma":[0.9716002,0.00006968636,0.02583197,0.00206213,0.0003834227,0.00001574909,0.000005086156,0.000002406299,0.00002931221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5297024,"threshold_uncertainty_score":0.505004,"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."}}