{"id":"W3201333387","doi":"10.1136/ijgc-2021-002973","title":"ATARI trial: ATR inhibitor in combination with olaparib in gynecological cancers with ARID1A loss or no loss (ENGOT/GYN1/NCRI)","year":2021,"lang":"en","type":"article","venue":"International Journal of Gynecological Cancer","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"National Institute for Health and Care Research; Cancer Research UK; European Society for Medical Oncology; Royal Marsden NHS Foundation Trust; AstraZeneca","keywords":"Olaparib; ARID1A; Medicine; Clear cell carcinoma; Cancer research; Endometrial cancer; Oncology; Serous fluid; Carcinosarcoma; Carcinoma; Internal medicine; Cancer; Mutation; Poly ADP ribose polymerase; Biology; Polymerase","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":[0.001317178,0.0007688016,0.001375904,0.0002710776,0.0002596469,0.0008184017,0.0008553577,0.001076853,0.004648058],"category_scores_gemma":[0.0008661039,0.000241558,0.001058095,0.0002948278,0.0003687812,0.0006524993,0.0002692198,0.001908331,0.0007654608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007288911,"about_ca_system_score_gemma":0.001105476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006915422,"about_ca_topic_score_gemma":0.003350531,"domain_scores_codex":[0.9997301,0.0001217322,0.00002019237,0.00005342602,0.00003098277,0.00004370684],"domain_scores_gemma":[0.9995521,0.00008999437,0.0001391714,0.00003354273,0.00003155288,0.0001536316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.7898303,0.009091155,0.005968311,0.003828109,0.001720646,0.0003363828,0.0001771422,0.002330644,0.02359574,0.0008744086,0.01444302,0.1478041],"study_design_scores_gemma":[0.8436983,0.1283974,0.008531735,0.0002605046,0.0008733851,0.0007036392,0.00005882451,0.001332708,0.002948086,0.0004554247,0.01270816,0.00003178397],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538042,0.02051209,0.0008111835,0.002161718,0.0005641934,0.00503664,0.006330024,0.0002509851,0.01052893],"genre_scores_gemma":[0.9559196,0.008469638,0.004085828,0.003637466,0.0004876981,0.005288189,0.01194464,0.00005621334,0.01011078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004648058,"threshold_uncertainty_score":0.0155493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654885365543387,"score_gpt":0.2995015857474742,"score_spread":0.2829527320920404,"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."}}