{"id":"W2583057834","doi":"10.2147/ott.s122774","title":"Prognostic significance of microRNA-100 in solid tumors: an updated meta-analysis","year":2017,"lang":"en","type":"article","venue":"OncoTargets and Therapy","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Qilu Hospital of Shandong University; Shandong University","keywords":"Hazard ratio; Meta-analysis; Medicine; Confidence interval; Internal medicine; Oncology; Publication bias; Lung cancer; Subgroup analysis; Malignancy; microRNA; Cancer; Biology; Gene","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":[0.0002119764,0.0001351657,0.0004400372,0.0000634882,0.00008172999,0.000041814,0.0002087434,0.00007488873,0.00008353114],"category_scores_gemma":[0.0000219677,0.0001064038,0.0002120421,0.00006353042,0.0001095664,0.00001058217,0.00003757631,0.00003881825,7.617429e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004728789,"about_ca_system_score_gemma":0.00003864968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001255663,"about_ca_topic_score_gemma":0.0001518651,"domain_scores_codex":[0.9991516,0.00007975558,0.0002355935,0.0003073165,0.00008017373,0.0001455477],"domain_scores_gemma":[0.9990424,0.000005764941,0.0002502443,0.0005621362,0.00007799899,0.00006144146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001182786,0.0001922076,0.02149373,0.00003276215,0.0080382,0.00000425557,0.00006127299,0.00006974769,0.9696308,0.00002538652,0.00004347365,0.0002899157],"study_design_scores_gemma":[0.001081365,0.000417124,0.2776462,0.00001386375,0.007231563,0.000002902605,0.00002994814,0.0003210988,0.7105785,0.0003578682,0.001938738,0.0003808825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927627,0.006573218,0.000123709,0.00009311257,0.00001654319,0.0002895813,0.00004226829,0.000004163003,0.00009464079],"genre_scores_gemma":[0.9988329,0.0003353005,0.0004250896,0.00006876644,0.00003458658,0.00002942159,0.000164169,0.00001326301,0.000096479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2590523,"threshold_uncertainty_score":0.4339021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0348696962660097,"score_gpt":0.3149643446828903,"score_spread":0.2800946484168805,"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."}}