{"id":"W2946379042","doi":"10.1111/jvim.15519","title":"Modified stall-side crossmatch for transfusions in horses","year":2019,"lang":"en","type":"article","venue":"Journal of Veterinary Internal Medicine","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Cegep de Saint Hyacinthe","funders":"","keywords":"Medicine; Antibody; Chromatography; Immunology; Chemistry","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":[0.00454998,0.000592988,0.0003495152,0.000917119,0.0002436478,0.0005044218,0.000531183,0.0006348069,0.001614497],"category_scores_gemma":[0.00812049,0.0001930347,0.0002214004,0.0003258882,0.0003777558,0.0005020438,0.0004210239,0.0003459767,0.0005160507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002563664,"about_ca_system_score_gemma":0.0002940516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003647768,"about_ca_topic_score_gemma":0.0006537349,"domain_scores_codex":[0.9981945,0.000932213,0.0001480856,0.0001663618,0.0004690883,0.00008975977],"domain_scores_gemma":[0.9954885,0.001502299,0.001661499,0.0004685028,0.0006093111,0.0002699939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001831093,0.0004305576,0.8672367,0.0003262124,0.00009749533,0.001952701,0.0004685063,0.0006649456,0.03182073,0.0001495147,0.001130263,0.09389126],"study_design_scores_gemma":[0.00007928821,0.009633316,0.9481669,0.0002578397,0.0001447912,0.01167073,0.0004049443,0.005531618,0.01960188,0.0002305818,0.004246064,0.00003196557],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929298,0.001145505,0.003977447,0.0001033746,0.00005529364,0.0002028843,0.00005159068,0.00007166715,0.001462513],"genre_scores_gemma":[0.9910389,0.0002827857,0.008142179,0.00008092255,0.00006013,0.00005956525,0.0000861403,0.000008878027,0.0002405503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00454998,"threshold_uncertainty_score":0.02406287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06041474366373163,"score_gpt":0.3666753749044957,"score_spread":0.3062606312407641,"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."}}