{"id":"W2061338750","doi":"10.1016/s0895-4356(03)00211-7","title":"Delphi as a method to establish consensus for diagnostic criteria","year":2003,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Peripheral Nerve Disorders","field":"Medicine","cited_by":480,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Western Hospital","funders":"Physicians' Services Incorporated Foundation","keywords":"Cronbach's alpha; Delphi method; Delphi; Medicine; Outlier; Statistic; Cohen's kappa; Statistics; Medical physics; Family medicine; Psychology; Psychometrics; Computer science; Clinical psychology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03109644,0.0001941471,0.002896616,0.0001397844,0.00004291841,0.000006733508,0.0001785123,0.0003867855,0.0004439458],"category_scores_gemma":[0.7181954,0.0001438341,0.0009981861,0.0001715746,0.0001710111,0.00004312156,0.00002736836,0.0007034388,0.00003681707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004206541,"about_ca_system_score_gemma":0.0005369066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002854506,"about_ca_topic_score_gemma":0.00001072899,"domain_scores_codex":[0.9900392,0.004726306,0.004234813,0.0003283547,0.0001603211,0.0005109938],"domain_scores_gemma":[0.7346976,0.2586301,0.002832132,0.0006085795,0.001481543,0.001750036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008861707,0.001561609,0.282228,0.0002438646,0.001096817,0.0006899126,0.0002041834,0.0004301898,0.001279488,0.02318191,0.5640229,0.1161995],"study_design_scores_gemma":[0.01047965,0.01159904,0.2093904,0.0003197471,0.000608197,0.002993277,0.0003010698,0.0004644625,0.0001319322,0.07893632,0.6844347,0.0003412366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7506858,0.001515417,0.150026,0.09147478,0.002956012,0.0008509291,0.00001628787,0.00002591147,0.002448867],"genre_scores_gemma":[0.2988205,0.0003269528,0.6206988,0.07855754,0.001102975,0.00002789263,0.000004294856,0.00004299404,0.0004180926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.687099,"threshold_uncertainty_score":0.9976901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3249963895775079,"score_gpt":0.59748467635958,"score_spread":0.2724882867820722,"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."}}