{"id":"W4241053029","doi":"10.1007/0-387-30677-3_1","title":"Challenges of Evaluation in Biomedical Informatics","year":2006,"lang":"en","type":"book-chapter","venue":"Health Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Informatics; Health informatics; Computer science; Data science; Medicine; Engineering; Nursing; Electrical engineering","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":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.01274348,0.0005301429,0.001737201,0.001205497,0.0002886714,0.000006154462,0.0003452668,0.001649204,0.0003571545],"category_scores_gemma":[0.0003717442,0.0004994412,0.0001352728,0.0001705862,0.0001367303,0.0002695782,0.000163114,0.002830818,0.0007372442],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003433936,"about_ca_system_score_gemma":0.01240774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005550566,"about_ca_topic_score_gemma":0.002208301,"domain_scores_codex":[0.9854226,0.0004648371,0.01045987,0.0001764823,0.002014836,0.001461413],"domain_scores_gemma":[0.9903706,0.0008936982,0.006711061,0.0009181809,0.000681914,0.000424524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008232127,0.0001587105,0.0003459011,0.1253217,0.0001076229,0.000003345615,0.07121147,0.0001578312,1.883494e-7,0.2422158,0.1914332,0.3689619],"study_design_scores_gemma":[0.002119484,0.0005835756,0.0004251907,0.01015628,0.00003341743,0.00001295328,0.003841133,0.01274994,2.115369e-7,0.005988506,0.9636348,0.0004544704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002544876,0.006843812,0.0005890861,0.002064791,0.001714434,0.006202916,0.0001612921,0.0001264023,0.9820428],"genre_scores_gemma":[0.0564595,0.2044421,0.04974633,0.04208135,0.01143968,0.006672769,0.01433836,0.002175587,0.6126443],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7722016,"threshold_uncertainty_score":0.9997457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1576343644867252,"score_gpt":0.4602778351714458,"score_spread":0.3026434706847206,"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."}}