{"id":"W4416019031","doi":"10.1016/j.ijgc.2025.102146","title":"OVARIAN CANCER TREATMENT IN LOW AND MIDDLE INCOME COUNTRIES:HOW THE EVERY WOMAN STUDY REFLECTS THE LANDSCAPE","year":2025,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ovarian Cancer Canada","funders":"","keywords":"Ovarian cancer; Cancer treatment; Low and middle income countries; Middle income country; Low income; MEDLINE","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":[0.01009046,0.0001964728,0.0006365438,0.001407747,0.001784828,0.00301747,0.0007518313,0.0009392004,0.001534738],"category_scores_gemma":[0.02202966,0.0002588977,0.0004762595,0.003689663,0.001912226,0.00204093,0.002703814,0.001502716,0.00009724894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684128,"about_ca_system_score_gemma":0.005009752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06445625,"about_ca_topic_score_gemma":0.1018677,"domain_scores_codex":[0.9899703,0.007597001,0.0005671328,0.0004140422,0.0005016769,0.0009498742],"domain_scores_gemma":[0.9888291,0.006134441,0.001622023,0.0007938336,0.001053375,0.001567228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003331928,0.0001488402,0.9187917,0.0005693028,0.0003909997,0.0003580278,0.02629982,0.0001490697,0.0001901372,0.005010008,0.01247596,0.03528307],"study_design_scores_gemma":[0.00006595277,0.0002937813,0.8616874,0.001875224,0.0003502936,0.0004127379,0.09726134,0.0002226724,0.0001674452,0.003047202,0.03454614,0.0000698638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8700544,0.02590708,0.0008666147,0.08386251,0.001207086,0.0001555581,0.001882223,0.00001209885,0.01605245],"genre_scores_gemma":[0.9825895,0.006517342,0.000375673,0.009179752,0.0002719375,0.0001518088,0.0004682238,0.00001697509,0.0004287603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06445625,"threshold_uncertainty_score":0.1281621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03163820194983179,"score_gpt":0.351315920363822,"score_spread":0.3196777184139902,"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."}}