{"id":"W1994041998","doi":"10.1016/j.vetimm.2009.10.029","title":"Multiple bovine FcγRIIb sub-isoforms generated by alternative splicing","year":2009,"lang":"en","type":"article","venue":"Veterinary Immunology and Immunopathology","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Livestock and Meat Agency; Ontario Ministry of Agriculture, Food and Rural Affairs; Alberta Beef Producers","keywords":"Biology; Gene isoform; Alternative splicing; Receptor; Antibody; Exon; Molecular biology; Effector; Immunoreceptor tyrosine-based activation motif; Fc receptor; Peripheral blood mononuclear cell; Cell biology; Gene; Immunology; Genetics; In vitro; Receptor tyrosine kinase","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005771074,0.0005467862,0.0003652641,0.0004719406,0.0003455799,0.0009567605,0.0006353265,0.000684038,0.001724586],"category_scores_gemma":[0.0005580234,0.0003887995,0.0008392959,0.0002953415,0.0004376353,0.0003186599,0.0003684442,0.001302394,0.0009452267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007106775,"about_ca_system_score_gemma":0.0002961228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0010143,"about_ca_topic_score_gemma":0.001235305,"domain_scores_codex":[0.9995435,0.00008010505,0.00005970407,0.0001078342,0.00008695785,0.0001218883],"domain_scores_gemma":[0.9993588,0.0001686978,0.0001696625,0.0001157825,0.0001105972,0.00007645458],"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":[0.0001625864,0.00001565866,0.0002699058,0.00002042043,0.00001067843,0.00018083,0.00003960959,0.00003212722,0.9977169,0.0002795928,0.00003759873,0.001234151],"study_design_scores_gemma":[0.00007449772,0.0002716749,0.007725799,0.00002593068,0.0001246492,0.001871385,0.0001195404,0.001064478,0.9809228,0.0003466414,0.007437552,0.00001506602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849829,0.001969673,0.009434527,0.0002010173,0.0001466364,0.00005083004,0.0004161206,0.00005460173,0.002743624],"genre_scores_gemma":[0.9808004,0.001425041,0.009444997,0.0002875829,0.00009251009,0.00006400694,0.002623282,0.00009116727,0.005171057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001724586,"threshold_uncertainty_score":0.005769372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379740124611828,"score_gpt":0.2966395648159968,"score_spread":0.2728421635698786,"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."}}