{"id":"W3096405833","doi":"10.1080/21655979.2020.1831361","title":"Prognostic and clinical significance of long non-coding RNA SNHG12 expression in various cancers","year":2020,"lang":"en","type":"article","venue":"Bioengineered","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for Central Universities of the Central South University; Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"Long non-coding RNA; Expression (computer science); Coding (social sciences); Clinical significance; RNA; Biology; Computational biology; Oncology; Medicine; Cancer research; Gene; Internal medicine; Genetics; Computer science; Statistics; 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":[0.0001776327,0.0001323587,0.0002079311,0.0000498934,0.00001900519,0.0000113742,0.0001572824,0.0001866168,0.000008750175],"category_scores_gemma":[0.0003051476,0.0001358632,0.00006227931,0.0001857993,0.00006563825,0.000003661444,0.0001213458,0.0001898538,0.000001539515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002818029,"about_ca_system_score_gemma":0.000165265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005000732,"about_ca_topic_score_gemma":0.00003164203,"domain_scores_codex":[0.9988639,0.00005621393,0.0002992279,0.000385618,0.00015247,0.0002425241],"domain_scores_gemma":[0.9995042,0.00002761456,0.00006529567,0.0001912762,0.00005336554,0.0001582191],"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":[0.0001572342,0.00002621621,0.001025032,0.00008460462,0.00003005262,0.00002520858,0.00006009511,0.0007958164,0.9947142,0.00000757481,0.0002239897,0.00284999],"study_design_scores_gemma":[0.001229529,0.0005619866,0.006050636,0.0001059365,0.00001834143,0.000004622706,0.00004351069,0.01075869,0.9805976,0.000005993986,0.0004170336,0.0002060903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6673938,0.001787419,0.3292465,0.0002978453,0.000203007,0.0008253808,0.0000326168,0.00002245707,0.0001909706],"genre_scores_gemma":[0.9970804,0.0005339584,0.002071256,0.00008531667,0.0001239508,0.00002905868,0.00002707286,0.00002647307,0.00002254756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3296866,"threshold_uncertainty_score":0.5540341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032444130516136,"score_gpt":0.29299970695004,"score_spread":0.2726752656448787,"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."}}