{"id":"W4313897923","doi":"10.1017/pcm.2022.14","title":"Advancing Precision Medicine in Paediatrics: Past, present and future","year":2023,"lang":"en","type":"article","venue":"Cambridge Prisms Precision Medicine","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; SickKids Foundation; Western University","funders":"Institute of Human Development, Child and Youth Health; National Institute for Health and Care Research","keywords":"Precision medicine; Health care; Medicine; Equity (law); Teamwork; Psychology; Political science; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003287903,0.0004385674,0.001075172,0.0007147034,0.0002066366,0.00001781943,0.000237053,0.0002417027,0.0003811009],"category_scores_gemma":[0.001891032,0.0002851674,0.00008283784,0.001892851,0.0003204311,0.0002814278,0.0004379766,0.0009023526,0.0001153983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001340601,"about_ca_system_score_gemma":0.00005910837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064081,"about_ca_topic_score_gemma":0.000004608584,"domain_scores_codex":[0.9957216,0.0002425043,0.001063487,0.0008616015,0.00131588,0.0007949019],"domain_scores_gemma":[0.9955204,0.00266764,0.0002675806,0.0005764825,0.0002369561,0.0007309479],"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":[0.001059324,0.0001101254,0.01425605,0.0002997117,0.00006296475,0.0005269996,0.001197973,0.00001093763,0.002696306,0.0001098116,0.4269955,0.5526742],"study_design_scores_gemma":[0.006519618,0.001162732,0.181246,0.0008566005,0.0002449974,0.0001553619,0.002109399,0.002875673,0.0001790455,0.0003139319,0.804055,0.000281568],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4393725,0.06883863,0.001503743,0.4561467,0.004642102,0.003264606,0.00002072897,0.0006091529,0.02560181],"genre_scores_gemma":[0.6468313,0.2742934,0.003294103,0.01101109,0.05508422,0.000357185,0.0003478758,0.000275496,0.008505342],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5523927,"threshold_uncertainty_score":0.9999601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580455349789611,"score_gpt":0.3668780787081133,"score_spread":0.3310735252102172,"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."}}