{"id":"W3172164020","doi":"10.21203/rs.3.rs-611515/v1","title":"Combining Sarcopenia and [18F] FDGPET/CT Derived Metabolic Parameters in Patients with Adenocarcinoma Esophageal Cancer Might Improve Outcome Prediction","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Esophageal Cancer Research and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Sarcopenia; Medicine; Esophageal cancer; Stage (stratigraphy); Proportional hazards model; Adenocarcinoma; Internal medicine; Lymphovascular invasion; Cancer; Oncology; Radiology; Nuclear medicine; Metastasis","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":[0.0007728796,0.0006792053,0.0006895639,0.0007087894,0.0002228726,0.0006843553,0.0002585055,0.0004404123,0.001052616],"category_scores_gemma":[0.001875688,0.0002020522,0.0004648039,0.0006677811,0.0001900721,0.0003946146,0.0003794464,0.0004457626,0.0002484259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001468985,"about_ca_system_score_gemma":0.0001616161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007057868,"about_ca_topic_score_gemma":0.001835913,"domain_scores_codex":[0.9997392,0.0001086165,0.00003454946,0.00005091132,0.00003569088,0.0000310736],"domain_scores_gemma":[0.9992086,0.0002256797,0.0002253076,0.00004530131,0.0001108917,0.0001841722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003274577,0.00003080585,0.9964055,0.00001413972,0.00006786345,0.00003673864,0.00001204177,0.0001504484,0.0002030963,0.000003927678,0.0000553944,0.002692665],"study_design_scores_gemma":[0.00002153199,0.0003718711,0.9956655,0.00001785613,0.0001631698,0.0001991263,0.00007431219,0.003029199,0.0002277484,0.00004374592,0.0001784264,0.000007621863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987029,0.0005378246,0.0002334817,0.00007045849,0.00001461291,0.000007859556,0.0001611711,0.000006070331,0.0002655644],"genre_scores_gemma":[0.9994383,0.00009248847,0.0001619313,0.00001696363,0.00001991902,0.000006055413,0.0001834822,9.122205e-7,0.00007988966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001052616,"threshold_uncertainty_score":0.004087448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04523693858310298,"score_gpt":0.3668883054704825,"score_spread":0.3216513668873796,"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."}}