{"id":"W2154210596","doi":"10.3816/clc.2008.s.010","title":"Emerging Safety Data for Bevacizumab in Advanced Non–Small-Cell Lung Cancer","year":2008,"lang":"en","type":"review","venue":"Clinical Lung Cancer","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Bevacizumab; Medicine; Internal medicine; Oncology; Adverse effect; Lung cancer; Clinical trial; Chemotherapy; Surgery","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":[0.001569763,0.0005004186,0.001768556,0.0009944969,0.0001618457,0.0009938376,0.0007588746,0.0009655213,0.002711641],"category_scores_gemma":[0.002155266,0.000182998,0.0008411495,0.00119426,0.0003637981,0.0007310403,0.0003160582,0.001659874,0.0008813147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008062907,"about_ca_system_score_gemma":0.001316056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001345869,"about_ca_topic_score_gemma":0.003307975,"domain_scores_codex":[0.9996338,0.00008467404,0.00005704677,0.00005249444,0.0001441042,0.00002785501],"domain_scores_gemma":[0.9985152,0.0009445599,0.0002568387,0.00002288122,0.0002121306,0.00004839364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002767826,0.00004092976,0.0003856521,0.008236869,0.0002175232,0.0002050865,0.00002444044,0.0003583979,0.001549708,0.001448228,0.02830412,0.9589522],"study_design_scores_gemma":[0.0003247531,0.0006182441,0.003234075,0.004557059,0.0009619466,0.002579042,0.00004868067,0.0003028626,0.001498086,0.002287174,0.9835625,0.00002555456],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004302508,0.9962614,0.0002663272,0.001015128,0.0001872199,0.000008567166,0.00005183887,0.00001209547,0.001767135],"genre_scores_gemma":[0.004728471,0.9915338,0.0004902032,0.001627693,0.0003726642,0.00001698481,0.0001401932,0.000004648977,0.001085322],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002711641,"threshold_uncertainty_score":0.00907141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029993825704775,"score_gpt":0.523098341916035,"score_spread":0.4200989593455575,"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."}}