{"id":"W2005792913","doi":"10.1016/s0888-7543(03)00171-x","title":"Molecular analysis of human Siglec-8 orthologs relevant to mouse eosinophils: identification of mouse orthologs of Siglec-5 (mSiglec-F) and Siglec-10 (mSiglec-G)","year":2003,"lang":"en","type":"article","venue":"Genomics","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; National Research Council Canada","keywords":"SIGLEC; Biology; CD22; Northern blot; Complementary DNA; Molecular biology; Blot; Sequence analysis; Genetically modified mouse; Western blot; Southern blot; Gene; Antibody; Genetics; Transgene; Lectin; Monoclonal antibody","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007973964,0.0003241117,0.0006911433,0.0007088202,0.0001124094,0.00003307962,0.0004313732,0.0003501579,0.00008702103],"category_scores_gemma":[0.0006124757,0.000342305,0.0003134868,0.0009917291,0.0003322457,0.00001338772,0.0002125542,0.0001740081,0.000008702775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004699001,"about_ca_system_score_gemma":0.00015802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008145517,"about_ca_topic_score_gemma":0.0001364174,"domain_scores_codex":[0.9969004,0.0003256688,0.001170681,0.0007439153,0.0004160301,0.0004433317],"domain_scores_gemma":[0.9973511,0.0000467524,0.0005986996,0.001150029,0.0006439302,0.0002094731],"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":[0.0001876616,0.0002372055,0.002330061,0.00008564562,0.0005320945,0.000004949548,0.0002445817,0.003796052,0.9910524,0.000687565,0.0001245974,0.000717212],"study_design_scores_gemma":[0.0007381886,0.0007252838,0.002516075,0.00001019348,0.0003183161,0.000005797761,0.0001543184,0.00022891,0.9924317,0.0001048737,0.002448871,0.0003174897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992853,0.0007927474,0.005029459,0.00007378746,0.00003463467,0.0005565014,0.0001968046,0.00001463361,0.0004484093],"genre_scores_gemma":[0.9956552,0.0003200324,0.001531185,0.00009037912,0.00001800483,0.00004295351,0.0003413949,0.00005587571,0.00194499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003567142,"threshold_uncertainty_score":0.9999029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01328241522887031,"score_gpt":0.2810982849446487,"score_spread":0.2678158697157784,"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."}}