{"id":"W3205595708","doi":"10.3390/curroncol28050352","title":"Pretreatment Neutrophil-to-Lymphocyte Ratio as a Predictive Marker of Response to Atezolizumab Plus Bevacizumab for Hepatocellular Carcinoma","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Hepatocellular Carcinoma Treatment and Prognosis","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Atezolizumab; Medicine; Bevacizumab; Hepatocellular carcinoma; Predictive marker; Oncology; Neutrophil to lymphocyte ratio; Lymphocyte; Internal medicine; Immunology; Cancer research; Cancer; Immunotherapy; Nivolumab; Chemotherapy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006605489,0.0002607981,0.0003623244,0.0005216683,0.0001576392,0.0003302689,0.0001729998,0.0002472414,0.0006682997],"category_scores_gemma":[0.001861394,0.00008560032,0.0002311194,0.0002811508,0.0002204041,0.0002706094,0.0001929013,0.0004229241,0.0001404256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882484,"about_ca_system_score_gemma":0.0002631786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004123273,"about_ca_topic_score_gemma":0.0006036622,"domain_scores_codex":[0.99976,0.00008361531,0.00003809301,0.00003951049,0.00004181178,0.00003688772],"domain_scores_gemma":[0.9989691,0.0003764931,0.0003352593,0.00003713445,0.0001023244,0.000179772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001171232,0.00005831414,0.9916516,0.00001133666,0.00002837974,0.0000936498,0.00001797682,0.000268416,0.001546134,0.00001192137,0.0000815998,0.005059409],"study_design_scores_gemma":[0.00005375599,0.0009620012,0.9910758,0.00001124461,0.0000877168,0.001043353,0.0000823899,0.004494259,0.001749489,0.00006179752,0.0003694979,0.000008838962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988927,0.0005249119,0.0002314797,0.00004554869,0.000006891832,0.000009770824,0.00004791879,0.000006224292,0.000234583],"genre_scores_gemma":[0.9996089,0.00005753259,0.0001554158,0.00001217472,0.000008146249,0.000007872653,0.00010027,0.000001011965,0.00004865621],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006682997,"threshold_uncertainty_score":0.003493369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083302132968097,"score_gpt":0.3544607772048574,"score_spread":0.2461305639080477,"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."}}