{"id":"W4255933400","doi":"10.3410/f.732683251.793568312","title":"Faculty Opinions recommendation of Diagnostic criteria of ulcerative pyoderma gangrenosum: A delphi consensus of international experts.","year":2019,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Autoimmune and Inflammatory Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pyoderma gangrenosum; Delphi method; Delphi; Dermatology; Medicine; Consensus conference; Family medicine; Pathology; Computer science; Internal medicine; Disease; 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":[],"consensus_categories":[],"category_scores_codex":[0.01275835,0.001034959,0.001889989,0.005512729,0.001166738,0.003395687,0.002538165,0.002011937,0.1391726],"category_scores_gemma":[0.0951253,0.0007145603,0.002419132,0.005766414,0.0005209511,0.001953788,0.002792262,0.002452128,0.06070136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002705713,"about_ca_system_score_gemma":0.009592344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01330115,"about_ca_topic_score_gemma":0.03027802,"domain_scores_codex":[0.9894762,0.003254244,0.003138303,0.001524389,0.002042439,0.0005644535],"domain_scores_gemma":[0.949661,0.02158559,0.005076124,0.005011243,0.01654839,0.002117685],"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":[0.0002347259,0.00003011074,0.003236547,0.002324846,0.0001062301,0.00002302291,0.00005841604,0.00008635258,0.0001181276,0.0004621299,0.9843791,0.008940331],"study_design_scores_gemma":[0.001135559,0.00003729866,0.01581188,0.005036172,0.0002932794,0.00009791388,0.000203899,0.0005107595,0.000445923,0.002127165,0.9742275,0.00007257568],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005513157,0.0002025724,0.0006150254,0.0009653697,0.0001471938,0.0005699768,0.9922649,0.0001991931,0.004484639],"genre_scores_gemma":[0.003637917,0.0003292113,0.003971973,0.001050024,0.0001048202,0.004094243,0.9830888,0.0001801914,0.003542987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1391726,"threshold_uncertainty_score":0.4655788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943866636115339,"score_gpt":0.3785252151846312,"score_spread":0.3390865488234778,"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."}}