{"id":"W2898670347","doi":"10.2460/ajvr.79.11.1123","title":"Analytic characterization of flow cytometric assays for detection of immunoglobulin G on canine erythroid cells, including detection of dog erythrocyte antigen 1 on erythroid precursors","year":2018,"lang":"en","type":"article","venue":"American Journal of Veterinary Research","topic":"Erythrocyte Function and Pathophysiology","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Musculoskeletal Health and Arthritis","keywords":"Antibody; Antigen; Flow cytometry; Molecular biology; Immunoglobulin G; Immunology; Biology; Chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001088918,0.000415052,0.0002196595,0.0007664443,0.0001838924,0.0003962175,0.0002766196,0.0003979287,0.0005992259],"category_scores_gemma":[0.00199714,0.0001145734,0.0001363051,0.0003028071,0.000286235,0.0001759941,0.0001462174,0.0002973242,0.000219216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004635723,"about_ca_system_score_gemma":0.0003541447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001042009,"about_ca_topic_score_gemma":0.001158603,"domain_scores_codex":[0.9992396,0.0001505043,0.00006113834,0.000158881,0.0003330658,0.00005687351],"domain_scores_gemma":[0.9991555,0.0002958912,0.0001532419,0.00006046732,0.0002885034,0.00004634917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001094345,0.0000663146,0.009505744,0.00004341227,0.000008388721,0.00002102009,0.00003425679,0.0002035683,0.9827901,0.0001075912,0.00006905854,0.00704102],"study_design_scores_gemma":[0.00003614232,0.0008519918,0.1004864,0.000017722,0.00004668977,0.0007374429,0.0000586353,0.008350994,0.8868195,0.0001943946,0.002383623,0.00001633136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9229496,0.0008481571,0.07368174,0.0001286563,0.00002493369,0.0003171634,0.0005037818,0.0002355198,0.001310531],"genre_scores_gemma":[0.9018623,0.000495836,0.09458436,0.0002181479,0.00003856891,0.0004043599,0.00151659,0.00002295391,0.0008568183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001088918,"threshold_uncertainty_score":0.005758822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09390941929516795,"score_gpt":0.3920283801887369,"score_spread":0.298118960893569,"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."}}