{"id":"W4401434215","doi":"10.2196/53427","title":"Pediatric Sedation Assessment and Management System (PSAMS) for Pediatric Sedation in China: Development and Implementation Report","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Anesthesia and Sedative Agents","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sedation; Medicine; Medical emergency; Workflow; Emergency medicine; Medical physics; Database; Computer science; Anesthesia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005028977,0.0005476494,0.0002782834,0.001567198,0.00046739,0.0007424523,0.001018093,0.0003519008,0.001458094],"category_scores_gemma":[0.00391732,0.000270265,0.0005605425,0.001387862,0.0004315595,0.0009908698,0.001102006,0.000429258,0.0003910935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002455834,"about_ca_system_score_gemma":0.01428913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04807471,"about_ca_topic_score_gemma":0.0219837,"domain_scores_codex":[0.9978956,0.0003715822,0.000322179,0.0001726218,0.0009656004,0.0002724882],"domain_scores_gemma":[0.9962418,0.0003084195,0.0005012574,0.0001753622,0.002056835,0.0007163455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004467661,0.001244633,0.6341528,0.001269923,0.0001244174,0.0005878371,0.001709405,0.003738528,0.01167885,0.001253895,0.01065785,0.333135],"study_design_scores_gemma":[0.0001588383,0.002359454,0.9444227,0.0003400253,0.0001282922,0.0003424426,0.001624239,0.01295785,0.007312263,0.0001228435,0.03016387,0.00006718837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9778976,0.002260494,0.006846851,0.0009722417,0.00009835418,0.003180117,0.003559821,0.0006222771,0.004562119],"genre_scores_gemma":[0.9476296,0.003148296,0.03053874,0.0003717266,0.00007190255,0.001815871,0.01294116,0.00005651268,0.00342618],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04807471,"threshold_uncertainty_score":0.09558982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827170429412297,"score_gpt":0.3595591498113894,"score_spread":0.3412874455172664,"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."}}