{"id":"W4312139491","doi":"10.1136/ijgc-2022-igcs.158","title":"EP067/#802 A comparison of adverse outcomes with the use of bevacizumab with cisplatin/paclitaxel or carboplatin/paclitaxel in recurrent, persistent or metastatic cervical cancer","year":2022,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Juravinski Cancer Centre; McMaster University","funders":"","keywords":"Medicine; Carboplatin; Bevacizumab; Common Terminology Criteria for Adverse Events; Paclitaxel; Internal medicine; Adverse effect; Chemotherapy; Oncology; Cervical cancer; Cisplatin; Response Evaluation Criteria in Solid Tumors; Nedaplatin; Cancer; Surgery; Progressive disease; Gastroenterology","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":[0.001672537,0.000434229,0.00109634,0.0004700726,0.0001579597,0.0007291589,0.0006009165,0.001086631,0.00702463],"category_scores_gemma":[0.003679795,0.0002796025,0.003294413,0.0005782121,0.0003241446,0.0008709029,0.0004163121,0.001571471,0.0004785955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006410958,"about_ca_system_score_gemma":0.0009815622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001759502,"about_ca_topic_score_gemma":0.00257537,"domain_scores_codex":[0.9985226,0.0007328649,0.0001877132,0.0002035393,0.0002243169,0.0001290972],"domain_scores_gemma":[0.9978537,0.001221749,0.0004384505,0.00008497084,0.0001444276,0.0002567361],"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":[0.9162313,0.001910794,0.01536702,0.001989706,0.009889636,0.0001303179,0.00004081259,0.0007271688,0.003030461,0.0003139719,0.001680947,0.04868784],"study_design_scores_gemma":[0.3472725,0.3399383,0.2666323,0.001047441,0.02619234,0.0005394341,0.0002811801,0.004114873,0.003832992,0.001061091,0.008930199,0.0001573865],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848614,0.008395993,0.0003249377,0.000327426,0.0004386774,0.0002194049,0.001738329,0.00002088142,0.003673055],"genre_scores_gemma":[0.9925206,0.002760437,0.0004018462,0.0003211408,0.0002083824,0.0002045274,0.001761874,0.000013113,0.001808308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00702463,"threshold_uncertainty_score":0.02349967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1517776484594754,"score_gpt":0.3989681612353952,"score_spread":0.2471905127759198,"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."}}