{"id":"W4387034107","doi":"10.1097/ta.0000000000004144","title":"A core outcome set for appendicitis: A consensus approach utilizing modified Delphi methodology","year":2023,"lang":"en","type":"article","venue":"The Journal of Trauma: Injury, Infection, and Critical Care","topic":"Appendicitis Diagnosis and Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Manitoba Health","funders":"","keywords":"Outcome (game theory); Delphi method; Medicine; Appendicitis; Pooling; Likert scale; Set (abstract data type); Surgery; Psychology; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001739568,0.0001900814,0.0005683081,0.000260172,0.0003258784,0.00003282771,0.00009867902,0.0001329979,0.0000306101],"category_scores_gemma":[0.001120893,0.0001292777,0.0002342365,0.0002457142,0.0003111265,0.00005555683,0.0000563191,0.0003729775,0.000004434961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006736418,"about_ca_system_score_gemma":0.00004638467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001103234,"about_ca_topic_score_gemma":0.00002223065,"domain_scores_codex":[0.9982726,0.0002293576,0.0006555422,0.0001855698,0.0002953593,0.0003615442],"domain_scores_gemma":[0.9978102,0.001213313,0.0001525649,0.00018169,0.0004426723,0.0001995099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.01388761,0.002100238,0.2007335,0.01709326,0.003468161,0.001009344,0.04497042,0.0007456453,0.003511471,0.3425967,0.1893316,0.1805521],"study_design_scores_gemma":[0.02631645,0.02552233,0.546102,0.001780815,0.01502051,0.0190168,0.2441101,0.006542592,0.00268099,0.06768136,0.04313137,0.002094744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726027,0.001378604,0.01927486,0.003234853,0.0007232664,0.0007957688,0.00008699713,0.00008501088,0.001817939],"genre_scores_gemma":[0.996824,0.0004034872,0.001439521,0.0008599042,0.0003544641,0.0000321916,0.00002342528,0.00002895941,0.00003406615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3453685,"threshold_uncertainty_score":0.527179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4256262045530305,"score_gpt":0.478695717515795,"score_spread":0.05306951296276446,"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."}}