{"id":"W3028754320","doi":"10.1200/jco.2020.38.15_suppl.e13080","title":"Macrocytosis as a predictor of response to capecitabine in solid cancers: A meta-analysis.","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; McMaster University; Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Capecitabine; Medicine; Macrocytosis; Internal medicine; Mean corpuscular volume; Oncology; Gastroenterology; Hazard ratio; Cancer; Colorectal cancer; Confidence interval; Anemia; Hematocrit","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":[0.01143169,0.002480781,0.0122975,0.003962891,0.0005762189,0.00271513,0.001867989,0.002271747,0.003787895],"category_scores_gemma":[0.01566152,0.001308795,0.05710549,0.005020471,0.0005196056,0.001281896,0.001235278,0.002264036,0.0004085819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363261,"about_ca_system_score_gemma":0.00149497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005850737,"about_ca_topic_score_gemma":0.008817533,"domain_scores_codex":[0.9935814,0.003504867,0.001099707,0.0009614432,0.0005485096,0.0003039874],"domain_scores_gemma":[0.9876857,0.009395099,0.001507011,0.0005478718,0.0005952026,0.0002691804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.005706764,0.00003087982,0.01615169,0.03790054,0.9342863,0.0001292302,0.00002899881,0.001008731,0.0002745106,0.00007117374,0.000471949,0.003939179],"study_design_scores_gemma":[0.0008237312,0.0002299898,0.008540951,0.001705125,0.9871028,0.00007923079,0.00001720558,0.0005861617,0.00008946887,0.000144091,0.0006644839,0.00001667118],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0390971,0.9544705,0.002034896,0.0005423049,0.000441508,0.0003132579,0.00231839,0.00009871793,0.0006833614],"genre_scores_gemma":[0.7918783,0.1986551,0.00321773,0.001133702,0.0005040658,0.0009843676,0.002492715,0.00009648904,0.001037654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0122975,"threshold_uncertainty_score":0.06045729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1277082900136033,"score_gpt":0.4491078118106628,"score_spread":0.3213995217970596,"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."}}