{"id":"W7082144293","doi":"10.1016/j.humimm.2025.111504","title":"Crossmatch alarm, liver charm: A strong positive crossmatch complemented by more testing","year":2025,"lang":"en","type":"article","venue":"Human Immunology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Biodiversity Monitoring Institute; University of Alberta Hospital; Alberta Hospital Edmonton; University of Alberta","funders":"","keywords":"","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":[0.00173317,0.0007977168,0.000713165,0.001363109,0.0006283793,0.001293813,0.000626281,0.002046418,0.01756707],"category_scores_gemma":[0.004385702,0.0002659502,0.0005176041,0.0005852719,0.0003776871,0.000900977,0.0008643232,0.001803512,0.004279151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005677295,"about_ca_system_score_gemma":0.0004754021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007179265,"about_ca_topic_score_gemma":0.00121829,"domain_scores_codex":[0.9988643,0.0002765163,0.0001224589,0.0002213162,0.0002393585,0.0002761468],"domain_scores_gemma":[0.997505,0.00084655,0.0003935198,0.0002497752,0.0003041047,0.0007012004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.01058907,0.001384801,0.4409947,0.0008503633,0.0002310248,0.01621433,0.0004056885,0.001158379,0.02336714,0.002239958,0.2547394,0.2478251],"study_design_scores_gemma":[0.001187128,0.008049333,0.4597424,0.001870047,0.0006748567,0.1015896,0.001766885,0.01838286,0.1019602,0.01404348,0.2903074,0.000425777],"study_design_candidate":"case_report","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8304183,0.008142571,0.02287565,0.04058393,0.00644233,0.0007288335,0.007432188,0.009793718,0.07358242],"genre_scores_gemma":[0.9356168,0.001374796,0.02128657,0.02095937,0.002503451,0.0003151849,0.003786399,0.000635956,0.01352139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01756707,"threshold_uncertainty_score":0.05876768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653456356781103,"score_gpt":0.2859312512653385,"score_spread":0.2593966876975274,"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."}}