{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01305376,0.00304727,0.01390184,0.005520834,0.0004971952,0.003051989,0.001735766,0.001921183,0.002534369],"category_scores_gemma":[0.02107357,0.001316461,0.04875147,0.006212416,0.0004422442,0.001498724,0.001251795,0.001924531,0.0002869739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383148,"about_ca_system_score_gemma":0.001690357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003320912,"about_ca_topic_score_gemma":0.006036714,"domain_scores_codex":[0.9929553,0.003389319,0.00165371,0.0009245254,0.0007884755,0.0002887577],"domain_scores_gemma":[0.9894199,0.007424411,0.001560664,0.0005560208,0.0008586621,0.0001802287],"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":[0.003067987,0.00002424256,0.01180961,0.05643444,0.9170632,0.0001577881,0.00003995675,0.0008551811,0.0003734667,0.00009757077,0.000509942,0.009566539],"study_design_scores_gemma":[0.0003156114,0.0001310449,0.005199221,0.002440564,0.9904056,0.00009948812,0.00001450688,0.0002952975,0.00008768282,0.0001544993,0.0008412338,0.00001517715],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01097873,0.9861739,0.001192084,0.0003227759,0.0002657904,0.0001004786,0.0006690314,0.00003762082,0.0002595191],"genre_scores_gemma":[0.4477207,0.5421016,0.00442672,0.001450333,0.0009473615,0.0006378976,0.002013976,0.00008955225,0.0006118041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01390184,"threshold_uncertainty_score":0.06903571,"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."}}