{"id":"W4400284416","doi":"10.3390/curroncol31070280","title":"Disparities in Outcomes following Resection of Locally Advanced Rectal Cancer","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Colorectal Cancer Surgical Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of North Carolina at Chapel Hill","keywords":"Medicine; Colorectal cancer; Margin (machine learning); Ethnic group; Cancer; Stage (stratigraphy); Outcomes research; Race (biology); Demography; Internal medicine; Pathology; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006739047,0.00009085107,0.0001655061,0.0004892101,0.0003148186,0.0004395519,0.0002708332,0.0002074026,0.00181972],"category_scores_gemma":[0.005413351,0.0000823721,0.0002721079,0.0009616118,0.0002150777,0.0005515034,0.0007642133,0.0005023248,0.0001210142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006255914,"about_ca_system_score_gemma":0.0007703662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484203,"about_ca_topic_score_gemma":0.03973998,"domain_scores_codex":[0.9992418,0.0002168987,0.00007598988,0.0001050295,0.0001132702,0.0002469428],"domain_scores_gemma":[0.9974906,0.0004170783,0.001478722,0.00006524294,0.0001594238,0.0003887949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003276944,0.00002972291,0.9963744,0.00001535468,0.0000333121,0.00003616659,0.0001142393,0.00006375834,0.00004727763,0.0001171758,0.0002585796,0.002877198],"study_design_scores_gemma":[0.00000167206,0.00002527752,0.9989755,0.000016592,0.00001097732,0.00004662471,0.0003768567,0.0001502564,0.00002639607,0.0001024321,0.0002646227,0.000002723591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978509,0.0003793377,0.00008147156,0.0003685426,0.00001197923,0.000006792091,0.0003983922,0.000001749945,0.0009008436],"genre_scores_gemma":[0.9995826,0.00008683495,0.00002622612,0.00004241206,0.00000688833,0.000002464291,0.0001859133,8.488451e-7,0.00006593517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01484203,"threshold_uncertainty_score":0.02951127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084770879676856,"score_gpt":0.4748268957808941,"score_spread":0.3663498078132085,"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."}}