{"id":"W2488896203","doi":"10.1002/9781118933053.ch10","title":"Feline Recipient Screening","year":2016,"lang":"en","type":"other","venue":"","topic":"Blood groups and transfusion","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"CATS; Blood type (non-human); Blood typing; Medicine; Titer; Hemolysis; Serology; Agglutination (biology); Coombs test; Antibody; Direct agglutination test; Blood transfusion; Immunology; Internal medicine","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":[0.001654831,0.0003665817,0.0002790656,0.001655057,0.0009331039,0.0005286676,0.0005075601,0.0006848015,0.01643082],"category_scores_gemma":[0.001593743,0.0001207292,0.0002214132,0.0003973118,0.0002716403,0.0003871706,0.0005229431,0.0003593546,0.002441104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004896144,"about_ca_system_score_gemma":0.0004728948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002538504,"about_ca_topic_score_gemma":0.003264623,"domain_scores_codex":[0.9993947,0.0001461974,0.00005931067,0.00009971134,0.0001619706,0.0001380725],"domain_scores_gemma":[0.9992915,0.00008044976,0.0001252185,0.0000939016,0.0002224946,0.0001863581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001031784,0.0009328623,0.6119469,0.0007949254,0.00006270325,0.02365158,0.003278464,0.000143826,0.03943266,0.003946524,0.04908535,0.2656924],"study_design_scores_gemma":[0.00005448874,0.002718485,0.5574348,0.000611312,0.0001891554,0.09820561,0.001910112,0.000959361,0.04553124,0.0009488616,0.2913578,0.00007883642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.879433,0.005193922,0.005483322,0.003617593,0.0004446924,0.0009309955,0.002118997,0.0006156471,0.1021618],"genre_scores_gemma":[0.9496474,0.002161423,0.005924701,0.001357039,0.0001705109,0.0001783755,0.001483452,0.00005850194,0.03901867],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01643082,"threshold_uncertainty_score":0.05496657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511216120973488,"score_gpt":0.2834010871281212,"score_spread":0.2682889259183863,"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."}}