{"id":"W2800540552","doi":"10.1016/j.ctrv.2018.04.005","title":"Molecular analyses in the diagnosis and prediction of prognosis in non-GIST soft tissue sarcomas: A systematic review and meta-analysis","year":2018,"lang":"en","type":"review","venue":"Cancer Treatment Reviews","topic":"Sarcoma Diagnosis and Treatment","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; McMaster University; Juravinski Cancer Centre; Cancer Care Ontario; Mount Sinai Hospital","funders":"","keywords":"Medicine; Liposarcoma; Soft tissue sarcoma; Hazard ratio; Internal medicine; Sarcoma; Confidence interval; Oncology; Meta-analysis; Fluorescence in situ hybridization; GiST; Pathogenesis; Pathology; Synovial sarcoma; Stromal cell; Gene; 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":[0.005666317,0.002139226,0.01028721,0.003830394,0.000411675,0.002227106,0.001469048,0.001820066,0.00295615],"category_scores_gemma":[0.01779474,0.001180209,0.02311081,0.00550783,0.0005254063,0.001455854,0.001263502,0.001709818,0.0002964694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001228263,"about_ca_system_score_gemma":0.002481676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006098383,"about_ca_topic_score_gemma":0.01768405,"domain_scores_codex":[0.996375,0.001317852,0.001129748,0.0005599032,0.0004626376,0.0001549034],"domain_scores_gemma":[0.990122,0.007566537,0.001447801,0.0002604025,0.0005025679,0.0001007004],"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":[0.001736799,0.00005192453,0.01153754,0.4196616,0.5247142,0.0001747556,0.0001253731,0.0007179803,0.0004130039,0.000223683,0.00143527,0.03920774],"study_design_scores_gemma":[0.0003846985,0.0001721573,0.007908972,0.02542814,0.9618952,0.0001444646,0.00006649902,0.0001659297,0.0001136277,0.0002993682,0.00338394,0.00003700906],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001832122,0.9975021,0.0001599954,0.00008547454,0.0000612837,0.00003071408,0.0002374252,0.00000555673,0.00008529426],"genre_scores_gemma":[0.06620594,0.9311397,0.001014873,0.0006404702,0.0002016878,0.0001456894,0.0004652906,0.00001059022,0.0001756862],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01028721,"threshold_uncertainty_score":0.02996671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2435051499371978,"score_gpt":0.4562480861357726,"score_spread":0.2127429361985748,"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."}}