{"id":"W4401201142","doi":"10.48550/arxiv.2407.19059","title":"The IBEX Knowledge-Base: Achieving more together with open science","year":2024,"lang":"en","type":"preprint","venue":"PubMed","topic":"AI in cancer detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity; McMaster University; McMaster University Medical Centre","funders":"NHLBI Division of Intramural Research; National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute of Allergy and Infectious Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute; NIHR Cambridge Biomedical Research Centre; Wellcome Trust; Biotechnology and Biological Sciences Research Council; Department of Health and Social Care; Medical Research Council; Common Fund; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Directorate for Biological Sciences; National Institutes of Health; Instituto Politécnico Nacional; Institute of Infection and Immunity; Fundação de Amparo à Pesquisa do Estado de São Paulo; Newcastle University; National Institute of General Medical Sciences; Institute of Circulatory and Respiratory Health; National Institute for Health and Care Research; NHS Blood and Transplant; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Canadian Allergy, Asthma and Immunology Foundation; NIH Office of the Director; Instituto Nacional de Ciência e Tecnologia de Doenças Tropicais; Canadian Institute for Advanced Research; Canadian Institutes of Health Research; Damon Runyon Cancer Research Foundation","keywords":"Resource (disambiguation); Knowledge base; Computer science; Base (topology); Knowledge management; Data science; Nanotechnology; World Wide Web; Mathematics; Materials science","routes":{"ca_aff":true,"ca_fund":true,"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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01811111,0.002483771,0.003691741,0.01190049,0.001988614,0.01189083,0.007530683,0.005405156,0.02328852],"category_scores_gemma":[0.06569481,0.001681792,0.001886759,0.007670602,0.002401576,0.01428906,0.007993951,0.00747164,0.02822064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002508544,"about_ca_system_score_gemma":0.01319938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002958647,"about_ca_topic_score_gemma":0.003156341,"domain_scores_codex":[0.9937488,0.001913656,0.0010531,0.0009078098,0.002027213,0.0003495051],"domain_scores_gemma":[0.9453679,0.02767465,0.003046562,0.01273606,0.008467864,0.002706928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005876466,0.0004160318,0.001285485,0.01355344,0.0005053416,0.0008129648,0.0008213818,0.005918214,0.0119251,0.1688898,0.2806319,0.5146527],"study_design_scores_gemma":[0.00004676803,0.00005004736,0.0002683497,0.003780673,0.0002234902,0.0002284154,0.0001297979,0.002373645,0.007121027,0.09948929,0.8861989,0.00008960021],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00604019,0.06460579,0.7065424,0.02798319,0.004401878,0.0009783447,0.07973561,0.02863428,0.08107825],"genre_scores_gemma":[0.03660543,0.0715372,0.6833547,0.01179451,0.002375115,0.001699088,0.1718221,0.005922176,0.01488963],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9924693,"threshold_uncertainty_score":0.09578186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499414431567971,"score_gpt":0.2868129096101361,"score_spread":0.2518187652944564,"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."}}