{"id":"W4224300340","doi":"10.1182/bloodadvances.2022007296","title":"Assessment of systemic and gastrointestinal tissue damage biomarkers for GVHD risk stratification","year":2022,"lang":"en","type":"article","venue":"Blood Advances","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Cancer Institute","keywords":"Risk stratification; Internal medicine; Medicine; Risk assessment; Stratification (seeds); Gastroenterology; Biology","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":[0.02950383,0.001266937,0.001377212,0.001133459,0.0004073164,0.001462358,0.0007393661,0.001036968,0.0008258007],"category_scores_gemma":[0.02202964,0.0006125071,0.0009839638,0.0007652037,0.0008822578,0.0009844857,0.001232222,0.0008519032,0.000408924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004084948,"about_ca_system_score_gemma":0.001272155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002831738,"about_ca_topic_score_gemma":0.0003655968,"domain_scores_codex":[0.9871329,0.008357521,0.0007774666,0.00202396,0.001334947,0.0003732014],"domain_scores_gemma":[0.9844507,0.006987304,0.003739883,0.002707709,0.001541086,0.0005733035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02751526,0.002095343,0.845472,0.0004002835,0.001696889,0.00007697022,0.0003160801,0.004521908,0.02458547,0.000707968,0.0004684229,0.09214333],"study_design_scores_gemma":[0.003925516,0.08272338,0.8308558,0.0001326888,0.00173154,0.0008008208,0.0001751053,0.03465036,0.03933298,0.001208919,0.004297612,0.0001652012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476335,0.002441682,0.04478118,0.0001253116,0.00009915932,0.002986762,0.0007198933,0.0001304497,0.001082005],"genre_scores_gemma":[0.9477422,0.0002893767,0.04849675,0.0001912697,0.00008251663,0.002044434,0.0008055115,0.00003333268,0.0003146562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02950383,"threshold_uncertainty_score":0.1560331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102024391419124,"score_gpt":0.285413890349614,"score_spread":0.2752114512077016,"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."}}