{"id":"W4286295755","doi":"10.1200/jco.2022.40.16_suppl.5531","title":"Staging locally advanced cervical cancer with FIGO 2018 versus FIGO 2008: Impact on overall survival and progression-free survival in the OUTBACK trial (ANZGOG 0902, RTOG 1174, NRG 0274).","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Endometrial and Cervical Cancer Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Cervical cancer; Oncology; Stage (stratigraphy); Internal medicine; Progression-free survival; Lymph node; Gynecology; Randomized controlled trial; Population; Cancer; Overall survival","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":[0.002947138,0.000750912,0.001625936,0.0003180438,0.0003203554,0.0009438517,0.00071775,0.001122015,0.005280189],"category_scores_gemma":[0.003766523,0.0002548511,0.001595321,0.0003194435,0.0004336491,0.001197337,0.0004833362,0.001669565,0.0003427776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008805916,"about_ca_system_score_gemma":0.0006845803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001070948,"about_ca_topic_score_gemma":0.002591848,"domain_scores_codex":[0.9990382,0.0006984071,0.0000317704,0.00008180353,0.00005349265,0.00009635531],"domain_scores_gemma":[0.9988247,0.0004266333,0.0003512772,0.0001088664,0.00005126457,0.0002372929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.9306392,0.005641872,0.008324158,0.0009777842,0.001435266,0.00003688773,0.0001191482,0.0004997978,0.000712402,0.0002612898,0.004016616,0.04733571],"study_design_scores_gemma":[0.7192412,0.2035458,0.05991109,0.0009254613,0.005026823,0.0002124233,0.0004324695,0.00200801,0.0010087,0.002165148,0.005448391,0.00007447251],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870243,0.007906333,0.0001843476,0.0008417414,0.00054311,0.0005156185,0.0007785726,0.00004412376,0.00216178],"genre_scores_gemma":[0.9942139,0.001433477,0.0003723034,0.0009387186,0.0003057249,0.0007517383,0.000801535,0.00001373165,0.001168832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005280189,"threshold_uncertainty_score":0.01766402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.122747040295299,"score_gpt":0.482699329282764,"score_spread":0.359952288987465,"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."}}