{"id":"W4391550212","doi":"10.2196/54838","title":"Global Trends of Medical Misadventures Using International Classification of Diseases, Tenth Revision Cluster Y62-Y69 Comparing Pre–, Intra–, and Post–COVID-19 Pandemic Phases: Protocol for a Retrospective Analysis Using the TriNetX Platform","year":2024,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero della Salute","keywords":"Preprint; Pandemic; Coronavirus disease 2019 (COVID-19); Cluster (spacecraft); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Virology; Computer science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007034198,0.0001719507,0.0004809122,0.000709998,0.0006991437,0.00007440545,0.0004966806,0.0003785386,0.0004046897],"category_scores_gemma":[0.002946626,0.0001099024,0.000167913,0.001537639,0.0003413128,0.0003281617,0.000317407,0.001093777,0.000001062492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273838,"about_ca_system_score_gemma":0.002042696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003947528,"about_ca_topic_score_gemma":0.0001387725,"domain_scores_codex":[0.9948274,0.0007851742,0.001410937,0.0003925643,0.002068076,0.0005158575],"domain_scores_gemma":[0.9966307,0.001294281,0.0005336873,0.0003505174,0.0007322044,0.0004585811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01436227,0.001074227,0.8122262,0.04617278,0.0009046645,0.00000677299,0.0120071,0.0005346242,0.0003871192,0.01315169,0.01491172,0.0842608],"study_design_scores_gemma":[0.007326489,0.0009201551,0.1038265,0.0129347,0.0001232882,0.00001067855,0.002248506,0.8040311,0.00001197577,0.002162837,0.06617374,0.0002300113],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.01892348,0.00001751983,0.02809339,0.002585747,0.00004300556,0.9496956,0.0002873093,0.00008183938,0.000272038],"genre_scores_gemma":[0.1223621,0.000003329598,0.0004769678,0.0001792848,0.0003007608,0.8764971,0.00009731705,0.00001395986,0.00006910282],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.8034965,"threshold_uncertainty_score":0.5377319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6650188696844989,"score_gpt":0.7051988889831943,"score_spread":0.04018001929869541,"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."}}