{"id":"W2504955952","doi":"10.4018/978-1-60566-078-3.ch012","title":"Informatics and Ovarian Cancer Care","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Princess Margaret Cancer Centre; University of Ottawa; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Ovarian cancer; Debulking; Referral; Lymphadenectomy; Informatics; Disease; Cancer; Stage (stratigraphy); Gynecology; Family medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004850512,0.00028099,0.0003941664,0.002475073,0.003891662,0.006964696,0.001526323,0.001673988,0.02352556],"category_scores_gemma":[0.03831783,0.000310023,0.0004453426,0.005273972,0.00349773,0.002547261,0.00506435,0.003516155,0.002350196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02740412,"about_ca_system_score_gemma":0.06204205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5088836,"about_ca_topic_score_gemma":0.4841185,"domain_scores_codex":[0.995434,0.001821985,0.0002674508,0.0003308721,0.001450279,0.000695362],"domain_scores_gemma":[0.9769278,0.01035887,0.001686167,0.0008469364,0.004314639,0.005865594],"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":[0.00003936962,0.000119595,0.05084215,0.0007443117,0.00004651061,0.000205258,0.004091266,0.0006549578,0.00006403021,0.08085336,0.5367423,0.3255969],"study_design_scores_gemma":[0.00004286622,0.0000425513,0.04954004,0.002100403,0.00003008638,0.0002324779,0.004347258,0.0005184071,0.00007246135,0.03589441,0.9071338,0.00004527696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01754381,0.02768498,0.003616424,0.5481268,0.002342681,0.0004380794,0.004844108,0.0005763917,0.3948268],"genre_scores_gemma":[0.5523851,0.1354832,0.02614086,0.1676313,0.006221676,0.00117404,0.01362637,0.0004839901,0.09685354],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5088836,"threshold_uncertainty_score":0.9880174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396431062544148,"score_gpt":0.2749655260568666,"score_spread":0.2610012154314251,"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."}}