{"id":"W4253351654","doi":"10.1109/jtehm.2020.2998337","title":"IEEE Journal on Translational Engineering in Medicine and Biology publication information","year":2020,"lang":"en","type":"article","venue":"IEEE Journal of Translational Engineering in Health and Medicine","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Translational medicine; Computer science; Data science; Medicine; Computational biology; World Wide Web; 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":[0.00314445,0.001010374,0.001010232,0.002856192,0.001084378,0.006044932,0.001313741,0.002178828,0.223171],"category_scores_gemma":[0.007533909,0.000417387,0.0007196087,0.00232561,0.0007943106,0.003334253,0.001679386,0.002577683,0.1252185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008116856,"about_ca_system_score_gemma":0.00226781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006709037,"about_ca_topic_score_gemma":0.001185876,"domain_scores_codex":[0.997865,0.000239073,0.0001559797,0.0002044709,0.001391522,0.0001439923],"domain_scores_gemma":[0.9921048,0.001437942,0.0003126871,0.0008152191,0.004350533,0.000978892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007547834,0.00007986499,0.0003774543,0.0005557906,0.00002496095,0.0001696733,0.00004975908,0.0006836941,0.003797048,0.008691283,0.7143545,0.2711406],"study_design_scores_gemma":[0.00001258574,0.00004891773,0.0004978615,0.0002724733,0.0000220957,0.0004037051,0.00004892889,0.003068205,0.001574091,0.008056558,0.9859657,0.00002891872],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00488551,0.05366594,0.1686846,0.03076776,0.1216678,0.0006782164,0.004794044,0.007123359,0.6077328],"genre_scores_gemma":[0.04233852,0.05875957,0.03113601,0.006940934,0.03071924,0.0004083027,0.007607332,0.002914045,0.8191761],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.223171,"threshold_uncertainty_score":0.7465814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03832593322613434,"score_gpt":0.2878912029065338,"score_spread":0.2495652696803995,"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."}}