{"id":"W4417079734","doi":"10.1080/17520363.2025.2600696","title":"Meta-analysis of preoperative CALLY index for predicting the prognosis of cancer","year":2025,"lang":"en","type":"article","venue":"Biomarkers in Medicine","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cancer; Index (typography); Adverse effect; MEDLINE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002073681,0.000274142,0.001784562,0.001126529,0.00007436238,0.000005017056,0.0003190814,0.0001619808,0.0003539049],"category_scores_gemma":[0.001012866,0.0001586421,0.0008877839,0.002742019,0.000826437,0.00005199759,0.00009064814,0.0001493351,1.663726e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001196928,"about_ca_system_score_gemma":0.000364943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006595238,"about_ca_topic_score_gemma":0.0004170504,"domain_scores_codex":[0.9972093,0.0002129811,0.001266574,0.0004389933,0.000566832,0.0003052951],"domain_scores_gemma":[0.9972457,0.001050766,0.000483438,0.000564784,0.0005702318,0.00008504237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00144029,0.000173439,0.7192848,0.0007662515,0.2718569,0.000004267656,0.0008275064,0.00004055776,0.001903779,0.0001681317,0.002035901,0.001498156],"study_design_scores_gemma":[0.002565366,0.0002260876,0.5951971,0.0003794126,0.3845817,7.396201e-7,0.001537405,0.007377902,0.00752216,0.00008731194,0.0003917937,0.0001329687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.917757,0.04353685,0.002620007,0.02121833,0.0006324702,0.008358153,0.0004316594,0.00008904757,0.005356445],"genre_scores_gemma":[0.9961957,0.000170558,0.001126125,0.0006994907,0.00004791291,0.001502786,0.00004173156,0.00001949145,0.0001962474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1240876,"threshold_uncertainty_score":0.6469239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06262463448578977,"score_gpt":0.3696450098972588,"score_spread":0.3070203754114691,"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."}}