{"id":"W4407834748","doi":"10.3233/978-1-58603-979-0-414","title":"eDoc Evaluation – At Eighteen Months into the Challenge","year":2009,"lang":"en","type":"book-chapter","venue":"Studies in health technology and informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05487513,0.0006994855,0.0007137409,0.002501043,0.003905031,0.008983505,0.002360545,0.00193856,0.02252177],"category_scores_gemma":[0.06441611,0.0004923813,0.0007844888,0.001718387,0.001363075,0.003693227,0.005739771,0.002689467,0.008797373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01063729,"about_ca_system_score_gemma":0.01932005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02288332,"about_ca_topic_score_gemma":0.05531714,"domain_scores_codex":[0.9698019,0.01243876,0.001746134,0.001478584,0.01104735,0.003487182],"domain_scores_gemma":[0.8940733,0.009144728,0.002164843,0.007969604,0.07269802,0.01394948],"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":[0.001588624,0.003821448,0.008223603,0.0008579833,0.00006300569,0.0002614837,0.005278547,0.0007849838,0.002024829,0.008268451,0.3618696,0.6069575],"study_design_scores_gemma":[0.0008097446,0.004424711,0.03188548,0.001243613,0.00006804166,0.0001933537,0.01001321,0.002381461,0.006762773,0.003262005,0.9388148,0.0001407376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2523352,0.006568352,0.06920663,0.1083485,0.01777696,0.08005856,0.02566514,0.005602147,0.4344386],"genre_scores_gemma":[0.3922681,0.00168649,0.1180441,0.02004008,0.001390579,0.03314998,0.01712639,0.001777005,0.4145174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05487513,"threshold_uncertainty_score":0.2902109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06739027356147141,"score_gpt":0.3719840116859879,"score_spread":0.3045937381245165,"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."}}