{"id":"W2990931921","doi":"10.1177/0300060519887886","title":"Feasibility of mean platelet volume as a biomarker for chronic obstructive pulmonary disease: A systematic review and meta-analysis","year":2019,"lang":"en","type":"review","venue":"Journal of International Medical Research","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; COPD; Mean platelet volume; Biomarker; Meta-analysis; Internal medicine; Pulmonary disease; Physical therapy; Platelet","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":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01292079,0.0004560927,0.008126509,0.001744065,0.00006403023,0.00004709758,0.001173599,0.0003888328,0.004153953],"category_scores_gemma":[0.02800603,0.0002741996,0.005988403,0.001089192,0.0006081492,0.0001622077,0.0003897496,0.001197492,0.00003016821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001129411,"about_ca_system_score_gemma":0.004701579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007406697,"about_ca_topic_score_gemma":0.000002231448,"domain_scores_codex":[0.9881944,0.001731641,0.003376879,0.0005946782,0.005669964,0.0004324338],"domain_scores_gemma":[0.9879045,0.003722965,0.00225453,0.0007760008,0.004254735,0.001087225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0003654029,0.0002761897,0.0000989836,0.7516376,0.2366868,0.0004845147,0.00001028042,4.904454e-8,2.604113e-7,0.00006645997,0.001084407,0.009288973],"study_design_scores_gemma":[0.0005972698,0.0002519233,0.0002366674,0.1644644,0.7872535,0.0009724821,0.00002391447,0.0002530483,6.154472e-7,0.0001769359,0.04552837,0.0002409122],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002779736,0.9918533,0.00006267253,0.001825251,0.0001688255,0.005329533,0.0004971685,0.000006595513,0.000228861],"genre_scores_gemma":[0.0006331406,0.9970096,0.0002021169,0.0001243648,0.0001883778,0.0005681324,0.0001385842,0.00005284331,0.001082876],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5871733,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2282423612618462,"score_gpt":0.4993940539077383,"score_spread":0.2711516926458921,"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."}}