{"id":"W4407782770","doi":"10.1007/s00403-025-03920-w","title":"Pyoderma gangrenosum refined elements for core item selection and evaluation (PRECISE-PG): a study protocol for reaching consensus on core outcome domain items in clinical trials of pyoderma gangrenosum","year":2025,"lang":"en","type":"article","venue":"Archives of Dermatological Research","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Pyoderma gangrenosum; Medicine; Protocol (science); Selection (genetic algorithm); Dermatology; Core (optical fiber); Computer science; Internal medicine; Pathology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3540924,0.003210884,0.005093757,0.005427335,0.005982241,0.003879161,0.003127755,0.006372103,0.01539185],"category_scores_gemma":[0.2719122,0.004936696,0.007482946,0.003950153,0.005061012,0.003613651,0.007075882,0.00848035,0.004259345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007118785,"about_ca_system_score_gemma":0.02957536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001317579,"about_ca_topic_score_gemma":0.002643574,"domain_scores_codex":[0.7079508,0.2154333,0.05357828,0.004860755,0.01279345,0.005383304],"domain_scores_gemma":[0.7486509,0.1684463,0.01681557,0.02691224,0.03525118,0.00392377],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.08990878,0.01456656,0.01791936,0.07154256,0.002863825,0.001067224,0.06297017,0.01488976,0.01132964,0.05751545,0.05884414,0.5965825],"study_design_scores_gemma":[0.318992,0.03570227,0.08985936,0.06976984,0.005904891,0.001165955,0.02386919,0.03072804,0.02490325,0.05924975,0.3379098,0.001945585],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.007995212,0.0002279998,0.01875718,0.0004168657,0.0001451402,0.9699794,0.0005911438,0.0001291785,0.001757869],"genre_scores_gemma":[0.003939674,0.00007847958,0.02485922,0.00008398476,0.00001333684,0.9707273,0.0001238189,0.00001017462,0.0001639506],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.6459076,"threshold_uncertainty_score":0.796519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.799298504706374,"score_gpt":0.708711060375997,"score_spread":0.09058744433037702,"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."}}