{"id":"W3140981945","doi":"10.1109/iembs.2007.4352267","title":"Women in Biomedical Engineering and Health Informatics","year":2007,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Balance (ability); Informatics; Time management; Simple (philosophy); Computer science; Health informatics; Knowledge management; Engineering ethics; Medical education; Public relations; Psychology; Engineering; Nursing; Political science; Medicine; Public health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000634961,0.0001013334,0.0001361823,0.0002103002,0.00001477291,0.0000329648,0.00007539823,0.00007936748,0.00001552482],"category_scores_gemma":[0.00003648086,0.00009997197,0.000007413941,0.0002875701,0.00002892289,0.0001427648,0.00002049787,0.0001912405,0.00000661662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00016576,"about_ca_system_score_gemma":0.00002852951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006828707,"about_ca_topic_score_gemma":0.000001397002,"domain_scores_codex":[0.9990809,3.65008e-7,0.0002922026,0.00006883576,0.0001133239,0.0004444052],"domain_scores_gemma":[0.9996298,0.00001177295,0.00001875134,0.00003262343,0.00002089963,0.0002861705],"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":[0.00002474789,0.0002287999,0.03101781,0.01553032,0.00009247875,0.000009649889,0.1955888,0.0003181723,0.02333629,0.02020229,0.009961312,0.7036894],"study_design_scores_gemma":[0.001392287,0.000282632,0.276562,0.001059613,0.000005584233,0.00008103533,0.01125019,0.6058739,0.001441491,0.001293984,0.0996751,0.001082085],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856725,0.0001516391,0.0123008,0.0003406494,0.0002543705,0.00008872188,0.000001003416,0.0002896547,0.0009006768],"genre_scores_gemma":[0.9972796,0.0001290783,0.002422309,0.0000564182,0.00006559997,0.00001346411,0.000003138835,0.00001169245,0.00001871493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7026073,"threshold_uncertainty_score":0.4076739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631361517764152,"score_gpt":0.2317855937656761,"score_spread":0.2154719785880345,"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."}}