{"id":"W3081787367","doi":"10.1158/1538-7445.am2020-ct221","title":"Abstract CT221: Nivolumab (NIVO) + ipilimumab (IPI) as first-line (1L) treatment for patients with advanced non-small cell lung cancer (NSCLC) with brain metastases: Results from CheckMate 227","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Brain Metastases and Treatment","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation","funders":"","keywords":"Medicine; Internal medicine; Nivolumab; Ipilimumab; Oncology; Lung cancer; Brain metastasis; Asymptomatic; Cancer; Performance status; Gastroenterology; Immunotherapy; Metastasis","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":[0.0008259407,0.0008226277,0.001559386,0.0003239654,0.0002660793,0.0007770853,0.0006335742,0.0006226992,0.00635585],"category_scores_gemma":[0.0006462335,0.0002490935,0.001295928,0.000336556,0.000421764,0.0004718953,0.0003108199,0.001630297,0.0008772091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001026935,"about_ca_system_score_gemma":0.001480345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002081435,"about_ca_topic_score_gemma":0.006836774,"domain_scores_codex":[0.9996763,0.0001686256,0.00001675992,0.00005119342,0.0000334405,0.00005353913],"domain_scores_gemma":[0.9995326,0.00007413683,0.00008923092,0.00002691606,0.00003416386,0.0002429514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.886981,0.01541098,0.003832759,0.0009670868,0.001479998,0.00008187178,0.00008351945,0.001596036,0.02181192,0.0001199435,0.003895844,0.06373899],"study_design_scores_gemma":[0.4559661,0.50366,0.02481545,0.0001108207,0.00224429,0.0001950404,0.00005999808,0.001547312,0.00728713,0.0001164333,0.003957799,0.00003959702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9900657,0.00306268,0.000247091,0.0003507146,0.0001123112,0.00137849,0.002415275,0.00007334241,0.002294343],"genre_scores_gemma":[0.9888082,0.001771789,0.0006393495,0.0004546431,0.0001387602,0.0009822145,0.003600198,0.00002259603,0.003582382],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00635585,"threshold_uncertainty_score":0.02126247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05385758993707476,"score_gpt":0.3624827389685978,"score_spread":0.308625149031523,"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."}}