{"id":"W2551584921","doi":"10.1371/journal.pone.0165161","title":"Incidence of Appendicitis over Time: A Comparative Analysis of an Administrative Healthcare Database and a Pathology-Proven Appendicitis Registry","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Appendicitis Diagnosis and Management","field":"Medicine","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Government of Alberta; University of Calgary","keywords":"Appendicitis; Medicine; Incidence (geometry); Population; Cancer registry; Diagnosis code; Cohort; Epidemiology; General surgery; Internal medicine; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01302688,0.0002946019,0.0007962488,0.004199633,0.0003430966,0.001739829,0.001044974,0.0007262975,0.0006695562],"category_scores_gemma":[0.04988125,0.0004912943,0.001379796,0.005605864,0.0005796114,0.002132747,0.001592655,0.0006612861,0.0001541616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001375524,"about_ca_system_score_gemma":0.0009443841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006719157,"about_ca_topic_score_gemma":0.006361491,"domain_scores_codex":[0.9856038,0.007194407,0.001704001,0.001978616,0.002790177,0.0007289055],"domain_scores_gemma":[0.9537418,0.019354,0.01918588,0.002979886,0.003554216,0.001184268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001947151,0.00002190721,0.9980165,0.00002864307,0.0002287427,0.00003482221,0.000145258,0.00006610061,0.00003537871,0.00003902999,0.00005349352,0.001135299],"study_design_scores_gemma":[0.000024169,0.0002140496,0.9980347,0.00002584295,0.0001428464,0.0002620993,0.0004634597,0.0005921418,0.00004447938,0.00002992553,0.0001568521,0.000009501289],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980605,0.0006412708,0.0002743759,0.00008621494,0.00001112928,0.00002500546,0.0006211709,0.000005927966,0.0002743827],"genre_scores_gemma":[0.9986238,0.0001959685,0.0002200311,0.00002539681,0.00001286439,0.00002150878,0.0008712215,0.000003353973,0.00002581206],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01302688,"threshold_uncertainty_score":0.06889355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08447103660333762,"score_gpt":0.3419327722083186,"score_spread":0.257461735604981,"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."}}