{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003040215,0.0003986953,0.000442303,0.0008963686,0.007527579,0.005833473,0.0005182511,0.001996868,0.03214124],"category_scores_gemma":[0.004530743,0.000191023,0.0002256617,0.00141565,0.004546373,0.003502262,0.005979996,0.002199392,0.00469567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182962,"about_ca_system_score_gemma":0.003938244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002767514,"about_ca_topic_score_gemma":0.00477151,"domain_scores_codex":[0.9977418,0.001077068,0.0000678176,0.0001554829,0.0003731313,0.0005847673],"domain_scores_gemma":[0.9976892,0.0007359582,0.000226008,0.00006655226,0.0001714696,0.001110821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001479927,0.0001747328,0.0148655,0.0006547256,0.00001799001,0.002484455,0.192136,0.0001531977,0.001911595,0.3487333,0.1878309,0.2508897],"study_design_scores_gemma":[0.000007305994,0.00008137351,0.003166049,0.0004191493,0.000006064419,0.001130926,0.04770954,0.00003564097,0.0002541932,0.01271104,0.9344614,0.00001745351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07442385,0.08595783,0.004156549,0.2738618,0.01127159,0.000128181,0.000205338,0.000154432,0.5498405],"genre_scores_gemma":[0.4321507,0.04690054,0.002090343,0.05231184,0.00349277,0.0001735223,0.0001080343,0.0001318338,0.4626405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03214124,"threshold_uncertainty_score":0.1075231,"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."}}