{"id":"W3132214029","doi":"10.1016/j.dib.2021.106925","title":"Descriptive statistics of dataset from the meta-analysis and meta-regression analysis on prognostic significance of pre-treatment systemic hemato-immunological indices of cervical cancer patients","year":2021,"lang":"en","type":"article","venue":"Data in Brief","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meta-analysis; Medicine; Subgroup analysis; Hazard ratio; Internal medicine; Oncology; Confidence interval; Cervical cancer; Observational study; Statistics; Study heterogeneity; Cancer; Mathematics","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":[0.0004207428,0.0002579379,0.00220435,0.0002014064,0.00003639525,0.00001467771,0.0003944939,0.0001034065,0.0005512371],"category_scores_gemma":[0.0008298996,0.0001332578,0.000371782,0.001167414,0.0003222995,0.00009771008,0.0003687413,0.0001148068,6.362734e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000690454,"about_ca_system_score_gemma":0.0001547666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003798851,"about_ca_topic_score_gemma":0.001156809,"domain_scores_codex":[0.9970001,0.0006214321,0.0009545619,0.0006174781,0.0006394457,0.0001669568],"domain_scores_gemma":[0.9959601,0.001333399,0.0008188594,0.001533559,0.0002803068,0.00007374997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005854845,0.001148513,0.6637278,0.0002705494,0.3328812,0.00004010342,0.0002946812,0.00004002506,0.0004194345,0.00002195087,0.0002638669,0.0003063667],"study_design_scores_gemma":[0.0005116857,0.0001346271,0.5117601,0.00004469979,0.4805752,5.22496e-7,0.0001834376,0.0003936581,0.006274804,0.00001416438,0.00002770076,0.00007941754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7350222,0.008804212,0.0002831713,0.00007650891,0.00001706769,0.000661413,0.2551268,0.000005373407,0.000003139044],"genre_scores_gemma":[0.9535099,0.0003674957,0.002650296,0.00005592557,0.000005742311,0.0001847024,0.04321232,0.000009455358,0.000004193394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2184876,"threshold_uncertainty_score":0.6035659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0885216892914176,"score_gpt":0.3409746385677696,"score_spread":0.252452949276352,"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."}}