{"id":"W2121898577","doi":"10.1109/mcas.2009.932557","title":"A wake-up call for the engineering and biomedical science communities","year":2009,"lang":"en","type":"article","venue":"IEEE Circuits and Systems Magazine","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Center for Scientific Review; National Institute of Environmental Health Sciences; National Institute of Diabetes and Digestive and Kidney Diseases; Radiological Society of North America; National Science Foundation","keywords":"Theme (computing); Grand Challenges; Face (sociological concept); White paper; Science and engineering; Computer science; Engineering ethics; Special section; Engineering; Engineering management; Political science; Sociology; Engineering physics; World Wide Web","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":[0.0360352,0.002374615,0.002282063,0.002904521,0.01261034,0.01533105,0.004032807,0.0425914,0.03685448],"category_scores_gemma":[0.04589116,0.00157909,0.002488399,0.001474667,0.006743859,0.02480261,0.02352525,0.05193377,0.02294449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002560809,"about_ca_system_score_gemma":0.01317573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008390585,"about_ca_topic_score_gemma":0.001676112,"domain_scores_codex":[0.972454,0.01098039,0.001489706,0.002239535,0.008647872,0.004188444],"domain_scores_gemma":[0.8793903,0.02547238,0.00283174,0.004832162,0.02656379,0.06090967],"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":[0.0001722601,0.000256932,0.0003904869,0.000337058,0.00002002284,0.0006804157,0.002168729,0.0001236992,0.00235548,0.01272223,0.9346946,0.04607794],"study_design_scores_gemma":[0.0000574744,0.0001430723,0.0005296419,0.0002690612,0.00001426781,0.0004947485,0.005946899,0.0002976813,0.0003711124,0.01049185,0.9813121,0.00007199919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001691429,0.005138618,0.003744361,0.8971381,0.08790848,0.00007541356,0.00005356988,0.0002967309,0.003953352],"genre_scores_gemma":[0.0239413,0.006770085,0.01505079,0.8228729,0.06099288,0.0002972245,0.0003522341,0.0006080282,0.0691146],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0425914,"threshold_uncertainty_score":0.1905746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955402238701321,"score_gpt":0.2274823837090127,"score_spread":0.2079283613219995,"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."}}