{"id":"W4402537087","doi":"10.1016/j.lanmic.2024.100980","title":"Critical loss: the effects of VEuPathDB defunding on global health","year":2024,"lang":"en","type":"article","venue":"The Lancet Microbe","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep de Saint Hyacinthe","funders":"","keywords":"Psychology","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":[],"category_scores_codex":[0.078958,0.001423554,0.001270889,0.003786015,0.003759183,0.01473511,0.005020526,0.006878661,0.0416703],"category_scores_gemma":[0.2142366,0.0006892558,0.001763509,0.004909164,0.005082416,0.0159607,0.01012653,0.01107035,0.01303164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005373165,"about_ca_system_score_gemma":0.01661159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01847543,"about_ca_topic_score_gemma":0.01117466,"domain_scores_codex":[0.9692512,0.01201078,0.002341895,0.002435822,0.01074052,0.003219871],"domain_scores_gemma":[0.8180678,0.08147082,0.01236329,0.01403922,0.03244959,0.04160926],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000360032,0.00006001186,0.004141417,0.0003018126,0.00006532323,0.0002028741,0.0003695026,0.0002554826,0.0001755506,0.0139667,0.8929489,0.08715232],"study_design_scores_gemma":[0.000175099,0.0002133095,0.007122123,0.001356567,0.0001035072,0.0008320672,0.001781324,0.001176767,0.0006183451,0.02015659,0.9663455,0.0001188891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00915752,0.01184039,0.003767555,0.9242994,0.02377771,0.00008391444,0.005900277,0.002258884,0.0189144],"genre_scores_gemma":[0.1870659,0.02765877,0.02269817,0.6898624,0.03000383,0.0005149973,0.01900397,0.003374055,0.0198179],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.921042,"threshold_uncertainty_score":0.4175748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765993416602031,"score_gpt":0.3493058346142631,"score_spread":0.3316459004482428,"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."}}