{"id":"W4399976754","doi":"10.1038/s41684-024-01395-2","title":"Model matchmaking via the Solve-RD Rare Disease Models & Mechanisms Network (RDMM-Europe)","year":2024,"lang":"en","type":"article","venue":"Lab Animal","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Hospital for Sick Children; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; Third Health Programme; Medical Research Council; European Commission","keywords":"Disease; Computer science; Computational biology; Rare disease; Intensive care medicine; Medicine; Biology; 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":[],"consensus_categories":[],"category_scores_codex":[0.01420372,0.002288051,0.001799755,0.00291499,0.001178637,0.005334062,0.004343075,0.002749763,0.04138342],"category_scores_gemma":[0.02880127,0.001408803,0.005079456,0.001713105,0.00134269,0.004404769,0.008876807,0.003903186,0.01264592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810244,"about_ca_system_score_gemma":0.004658773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003479102,"about_ca_topic_score_gemma":0.004464375,"domain_scores_codex":[0.9943637,0.002720888,0.000343451,0.001167026,0.001129639,0.0002753418],"domain_scores_gemma":[0.991635,0.004012587,0.0004732111,0.002532183,0.0006670142,0.000679986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00133031,0.0004851889,0.003699671,0.001676605,0.001144469,0.0007892423,0.0006359,0.2227629,0.008175923,0.4187949,0.1083894,0.2321154],"study_design_scores_gemma":[0.0003769489,0.0001455472,0.0004652663,0.0002538575,0.0001565736,0.0002573557,0.00009905836,0.4279085,0.003777883,0.3725319,0.1939376,0.0000896598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.003742397,0.0009320503,0.9513073,0.001436906,0.0005145813,0.0003849066,0.004846091,0.02585033,0.01098546],"genre_scores_gemma":[0.05865052,0.001162149,0.9041935,0.0006474957,0.0002272851,0.0009487208,0.02088717,0.006701923,0.00658129],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04138342,"threshold_uncertainty_score":0.1384413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906753083712667,"score_gpt":0.2421706987152525,"score_spread":0.2231031678781258,"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."}}