{"id":"W2041753020","doi":"10.1016/j.jss.2008.11.584","title":"QS279. MRI is a Useful Tool for Diagnosing Appendicitis During Pregnancy","year":2009,"lang":"en","type":"article","venue":"Journal of Surgical Research","topic":"Appendicitis Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Appendicitis; Medicine; Pregnancy; Radiology; Obstetrics; General surgery; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007205516,0.0007333034,0.0005390728,0.003013422,0.0003904529,0.0006883545,0.0005904397,0.001953063,0.00985027],"category_scores_gemma":[0.005566186,0.0005056565,0.0002902715,0.0007000557,0.0005731726,0.001311347,0.0004013678,0.0009121795,0.00415346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032612,"about_ca_system_score_gemma":0.0005543565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00182679,"about_ca_topic_score_gemma":0.002019472,"domain_scores_codex":[0.9996122,0.0001005298,0.00005258681,0.00004375994,0.0001122083,0.00007882186],"domain_scores_gemma":[0.998239,0.0007797321,0.0002045356,0.00007792917,0.0004106204,0.000288097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.005657592,0.0004971725,0.2677594,0.001270609,0.0001659972,0.1489498,0.0004278123,0.001227929,0.2489671,0.001156801,0.027163,0.2967568],"study_design_scores_gemma":[0.0008347235,0.004662964,0.4191522,0.002072185,0.0005688876,0.3561901,0.001645778,0.009603367,0.12799,0.003248288,0.07381018,0.000221398],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7799114,0.04065874,0.01008899,0.01755424,0.002199079,0.0004530684,0.002689817,0.001093904,0.1453507],"genre_scores_gemma":[0.9629906,0.01405891,0.009002865,0.002759256,0.0009677073,0.00007286697,0.000986563,0.0001561109,0.009005047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00985027,"threshold_uncertainty_score":0.03295243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08870754786489239,"score_gpt":0.4226408179597083,"score_spread":0.3339332700948159,"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."}}