{"id":"W4313342026","doi":"10.1007/978-3-031-20664-1","title":"Biomedical Engineering Systems and Technologies","year":2022,"lang":"en","type":"book","venue":"Communications in computer and information science","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Kauno Technologijos Universitetas; Szegedi Tudományegyetem; Lietuvos Sveikatos Mokslų Universitetas; Daegu Gyeongbuk Institute of Science and Technology; National Taiwan University; National Yang-Ming University; Orta Doğu Teknik Üniversitesi; Tsinghua University; Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences; Chung-Ang University; Universidade de Coimbra; North Dakota State University; Hebrew University of Jerusalem; Università degli Studi di Salerno; Università degli Studi di Milano-Bicocca; University of West Attica; University of Zanjan; Chinese Academy of Sciences; Université de Sherbrooke; Politechnika Lódzka; Middlesex University; Indian Council of Agricultural Research; Westfälische Wilhelms-Universität Münster; Durham University; Universidade do Porto; Commonwealth Scientific and Industrial Research Organisation; Università degli Studi di Milano; Johns Hopkins University; University of Washington; Massachusetts General Hospital","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000386041,0.0001209014,0.0001402552,0.0008624445,0.0001297397,0.0001542829,0.0006837553,0.0001109926,0.000003373231],"category_scores_gemma":[0.00003319291,0.00012331,0.00001045492,0.0004914495,0.0004181381,0.001012568,0.0006499911,0.0004479947,0.000005103529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001994513,"about_ca_system_score_gemma":0.00009128018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002913889,"about_ca_topic_score_gemma":2.539759e-7,"domain_scores_codex":[0.9992182,0.000005220373,0.0003069828,0.00009762453,0.0002214186,0.0001505828],"domain_scores_gemma":[0.9992542,0.00009042283,0.00003639586,0.0005287035,0.00003531541,0.00005492638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001657578,0.00004307102,0.00006220047,0.003290543,0.000038536,0.000001247094,0.004108931,0.02870082,0.00005999274,0.1308309,0.01937816,0.813484],"study_design_scores_gemma":[0.00005067708,0.00001036295,0.000149628,0.0001082007,0.000002065819,0.0000160857,0.00007501679,0.5695205,8.71633e-7,0.00008396987,0.4298699,0.000112608],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00564128,0.08885407,0.6166522,0.005878973,0.01877217,0.003741919,0.0003919966,0.010429,0.2496384],"genre_scores_gemma":[0.6710908,0.1544832,0.1635656,0.0005910045,0.0006612777,0.001588725,0.002281261,0.000199382,0.005538766],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8133714,"threshold_uncertainty_score":0.5028436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496512730883578,"score_gpt":0.2325961607369664,"score_spread":0.2176310334281306,"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."}}