{"id":"W2942732521","doi":"10.1111/bjd.18096","title":"Developing classification criteria for skin‐predominant dermatomyositis: the Delphi process","year":2019,"lang":"en","type":"article","venue":"British Journal of Dermatology","topic":"Inflammatory Myopathies and Dermatomyositis","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. Department of Veterans Affairs","keywords":"Dermatomyositis; Delphi; Dermatology; Medicine; Computer science; Delphi method; Process (computing); Artificial intelligence; Programming language","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":[0.0003358361,0.0001783183,0.0006419828,0.0001451647,0.0002333476,0.0001098336,0.0002823754,0.0001926304,0.00009518881],"category_scores_gemma":[0.0001651526,0.0001530208,0.0002527568,0.000170653,0.0001254501,0.0002962964,0.00003744371,0.000342466,0.00004054442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008069739,"about_ca_system_score_gemma":0.0004376718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000665786,"about_ca_topic_score_gemma":0.000007459088,"domain_scores_codex":[0.997951,0.0001329836,0.001015288,0.0001998119,0.0002967316,0.0004041631],"domain_scores_gemma":[0.9979368,0.0001942487,0.0006325138,0.0002154857,0.000900482,0.0001204579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"case_report","study_design_scores_codex":[0.01040981,0.001750873,0.2191071,0.01713471,0.003844983,0.05375038,0.01882898,0.00006752782,0.03931369,0.05620024,0.295323,0.2842687],"study_design_scores_gemma":[0.006384335,0.0001846579,0.06053938,0.001714046,0.0002772237,0.8642696,0.003443537,0.00186164,0.01754546,0.002003996,0.04138451,0.0003916287],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9725642,0.002457461,0.01272477,0.01002884,0.0008265147,0.0008469115,0.00001517081,0.00003260655,0.0005035541],"genre_scores_gemma":[0.9939424,0.0003659209,0.00339097,0.001871425,0.0002823053,0.00004616585,0.00001663885,0.00003892292,0.0000451948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8105192,"threshold_uncertainty_score":0.6240008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220247983506769,"score_gpt":0.3165257924529844,"score_spread":0.2943233126179167,"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."}}