{"id":"W3140456516","doi":"10.1016/j.clindermatol.2021.01.018","title":"Learning from disease registries during a pandemic: Moving toward an international federation of patient registries","year":2021,"lang":"en","type":"article","venue":"Clinics in Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children; University of Toronto; Sunnybrook Health Science Centre","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Medical Research Council; Psoriasis Association","keywords":"Operationalization; General partnership; Timeline; Pandemic; Medicine; Interoperability; Global health; Business; Public relations; Medical emergency; Disease; Public health; Coronavirus disease 2019 (COVID-19); Political science; Nursing; Computer science; Geography; Pathology","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":[0.2627065,0.001104565,0.001982639,0.006923364,0.00922983,0.02325542,0.009525022,0.01226776,0.01226696],"category_scores_gemma":[0.3692351,0.001810286,0.002254591,0.004977155,0.007015332,0.04198233,0.03936303,0.02444421,0.003884725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007930975,"about_ca_system_score_gemma":0.08485056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103375,"about_ca_topic_score_gemma":0.01241841,"domain_scores_codex":[0.8345948,0.1078108,0.01606365,0.01187867,0.01889643,0.01075563],"domain_scores_gemma":[0.4676903,0.1459934,0.05758024,0.07814295,0.1428472,0.1077459],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002032697,0.0007341891,0.1144052,0.0008269633,0.0002921416,0.0008306842,0.01063109,0.002154873,0.0008867914,0.06297001,0.3142319,0.4918329],"study_design_scores_gemma":[0.0002236953,0.0005505736,0.04266944,0.005281047,0.0002240012,0.001730126,0.02720959,0.007121226,0.001037362,0.1152876,0.7982534,0.0004120373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0145681,0.003737515,0.04059836,0.9182523,0.006949003,0.0006197939,0.0004733548,0.000639766,0.01416171],"genre_scores_gemma":[0.3684762,0.018617,0.1934257,0.3800711,0.01713716,0.002833662,0.004981954,0.001021604,0.01343576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7372935,"threshold_uncertainty_score":0.9092141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03264030223373896,"score_gpt":0.312198482961268,"score_spread":0.279558180727529,"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."}}