{"id":"W4406680746","doi":"10.3390/cancers17030336","title":"Predicting Response to Treatment and Survival in Advanced Ovarian Cancer Using Machine Learning and Radiomics: A Systematic Review","year":2025,"lang":"en","type":"review","venue":"Cancers","topic":"Ovarian cancer diagnosis and treatment","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Machine learning; Radiomics; Medicine; Artificial intelligence; Random forest; Lasso (programming language); Oncology; Internal medicine; Algorithm; Computer science","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":[0.009759412,0.001370787,0.006590574,0.007830027,0.0004268025,0.002134908,0.00162242,0.001981883,0.002417701],"category_scores_gemma":[0.04966285,0.0008024372,0.008968592,0.007948,0.0007107022,0.001927155,0.0009062648,0.001074417,0.0002098259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002846964,"about_ca_system_score_gemma":0.008270894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006585188,"about_ca_topic_score_gemma":0.01580226,"domain_scores_codex":[0.9917698,0.003528832,0.002736402,0.0006065883,0.001193669,0.0001647289],"domain_scores_gemma":[0.9455686,0.04599365,0.005621057,0.0004300068,0.002166871,0.0002199311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002973425,0.00002826506,0.002174569,0.9166059,0.01189413,0.00007452699,0.0001243194,0.0003789549,0.0000847911,0.000211632,0.001096854,0.06702862],"study_design_scores_gemma":[0.0003313818,0.0004481717,0.008160421,0.9028759,0.0740408,0.0003880594,0.0002115433,0.0005368227,0.0001599921,0.000350573,0.012446,0.0000503086],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0011649,0.998035,0.000146995,0.0001753817,0.00004532243,0.0001277512,0.0001739687,0.000005067641,0.0001255702],"genre_scores_gemma":[0.02112097,0.9767103,0.001009266,0.000362221,0.0001104069,0.0003993222,0.0002193875,0.000004881795,0.00006326577],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009759412,"threshold_uncertainty_score":0.05161333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03805136123654316,"score_gpt":0.3715631603296864,"score_spread":0.3335117990931433,"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."}}