{"id":"W3128026974","doi":"10.1097/md.0000000000024484","title":"CCT6A, a novel prognostic biomarker for Ewing sarcoma","year":2021,"lang":"en","type":"article","venue":"Medicine","topic":"Heat shock proteins research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"Guangxi Medical University; Youth Science Foundation of Guangxi Medical University; National Natural Science Foundation of China","keywords":"Medicine; Biomarker; Pathogenesis; Proportional hazards model; Immunohistochemistry; Oncology; Multivariate analysis; Sarcoma; Survival analysis; Pathology; Gene expression; Gene; Internal medicine; Cancer research; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005316244,0.0004209296,0.0004615236,0.001542441,0.0003939478,0.0007224896,0.0002628759,0.0004461616,0.002322137],"category_scores_gemma":[0.001319427,0.0001215186,0.0004775187,0.001499055,0.0002516914,0.0003388076,0.0004677835,0.0004749476,0.0005523065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319175,"about_ca_system_score_gemma":0.0003814521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008675878,"about_ca_topic_score_gemma":0.001337587,"domain_scores_codex":[0.9997107,0.00002999169,0.00003852743,0.00007555514,0.00009948012,0.00004565817],"domain_scores_gemma":[0.9992581,0.0001398079,0.0002684327,0.00004160365,0.0001636377,0.0001284069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00127832,0.00008799092,0.9103568,0.0005136841,0.0002729954,0.0004828829,0.00007942642,0.001421423,0.05119658,0.0002544393,0.003555199,0.03050024],"study_design_scores_gemma":[0.00005735801,0.000349012,0.9542797,0.0001060122,0.0005303193,0.003171245,0.0001843155,0.008213571,0.01801624,0.0008950663,0.01416222,0.00003504958],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803219,0.007186268,0.001959929,0.0003372049,0.00009251259,0.00005861399,0.008055356,0.00009298245,0.001895105],"genre_scores_gemma":[0.9880166,0.001096493,0.002110817,0.00008604624,0.00007489871,0.00003915908,0.007892388,0.00001128238,0.0006723183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002322137,"threshold_uncertainty_score":0.007768333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05065279198210555,"score_gpt":0.346429531153395,"score_spread":0.2957767391712894,"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."}}