{"id":"W4404041404","doi":"10.1097/01.pcc.0001084780.98260.01","title":"PP036 Topic: AS04–Emerging Sciences, Methodologies, Big Data and Technology: DIRECTED ACYCLIC GRAPHS, AN EPIDEMIOLOGICAL METHOD TO IMPROVE STUDY DESIGN IN PEDIATRIC CRITICAL CARE RESEARCH","year":2024,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Big data; Data science; Epidemiology; Intensive care medicine; Data mining; Computer science; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.05805786,0.0009388286,0.001038131,0.004617363,0.001408521,0.006170986,0.001571132,0.002179523,0.02014797],"category_scores_gemma":[0.1809822,0.0007422581,0.002027296,0.008291492,0.002455115,0.003802249,0.003349855,0.003276072,0.003604377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00262401,"about_ca_system_score_gemma":0.008849341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002689099,"about_ca_topic_score_gemma":0.003343738,"domain_scores_codex":[0.9375827,0.05563648,0.001975933,0.001897439,0.002711548,0.0001959337],"domain_scores_gemma":[0.7063335,0.2587892,0.008385153,0.01228457,0.01278562,0.001422109],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002483255,0.0002013071,0.01114104,0.008248748,0.0009041789,0.0001744909,0.001982472,0.01258047,0.000691966,0.3433107,0.1857456,0.4347707],"study_design_scores_gemma":[0.0002140745,0.0002428262,0.005254338,0.005191756,0.0003772782,0.0002887084,0.00136166,0.05529679,0.0007562044,0.6093721,0.3215393,0.0001050557],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0038991,0.007528787,0.9401647,0.01936508,0.004447794,0.002374688,0.006623794,0.002092585,0.01350352],"genre_scores_gemma":[0.04693517,0.007276338,0.9230937,0.005251186,0.00207797,0.007272474,0.003425966,0.0007473237,0.003919868],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9419422,"threshold_uncertainty_score":0.307043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7090013874790618,"score_gpt":0.6762076239326252,"score_spread":0.03279376354643659,"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."}}