{"id":"W2949079311","doi":"10.1101/680298","title":"Killer Immunoglobulin-like Receptor-Ligand Interactions Predict Clinical Outcomes Following Unrelated Donor Transplants","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Immune Cell Function and Interaction","field":"Immunology and Microbiology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Receptor; Transplantation; Immunology; Hematopoietic cell; Human leukocyte antigen; Antibody; Gene; Hematopoietic stem cell transplantation; Internal medicine; Medicine; Biology; Haematopoiesis; Oncology; Genetics; Antigen; Stem cell","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":[0.0008098605,0.0002959797,0.0003138414,0.0002921024,0.0001055576,0.0005990538,0.0002323563,0.0002214375,0.001251226],"category_scores_gemma":[0.00208045,0.000127583,0.0003775123,0.0001931772,0.0001565575,0.0002367714,0.0004720148,0.0004472634,0.0001614836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002323481,"about_ca_system_score_gemma":0.0002660106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001107567,"about_ca_topic_score_gemma":0.0009553655,"domain_scores_codex":[0.9998029,0.00008275584,0.00001795908,0.00003276412,0.0000349895,0.00002854229],"domain_scores_gemma":[0.9992737,0.0003480992,0.0002073384,0.0000517501,0.00004611523,0.00007293403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004922422,0.00008932745,0.9765803,0.00001258803,0.0001173031,0.00006611093,0.00001987994,0.01565835,0.001054643,0.0001564943,0.0001305914,0.005622162],"study_design_scores_gemma":[0.00003360045,0.0005009421,0.6822315,0.00001236174,0.0001640189,0.0002809382,0.0001529564,0.3133298,0.001697066,0.00124315,0.0003346656,0.00001893874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973494,0.0001037625,0.002156866,0.00003643313,0.000005601896,0.000005305676,0.0000996887,0.000008614959,0.0002343264],"genre_scores_gemma":[0.9995172,0.00002332069,0.0002303672,0.000004837994,0.000002626762,0.000003108269,0.00008872407,0.000001357138,0.0001284262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001251226,"threshold_uncertainty_score":0.004283011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885044785436006,"score_gpt":0.2582303795708032,"score_spread":0.2393799317164432,"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."}}