{"id":"W2606969997","doi":"10.1007/s11302-017-9561-8","title":"Generation and characterization of polyclonal and monoclonal antibodies to human NTPDase2 including a blocking antibody","year":2017,"lang":"en","type":"article","venue":"Purinergic Signalling","topic":"Adenosine and Purinergic Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Centre hospitalier de l'Université Laval","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec - Santé; Crohn's and Colitis Foundation; Crohn's and Colitis Foundation of America","keywords":"Monoclonal antibody; Polyclonal antibodies; Immunocytochemistry; Antibody; Biology; Molecular biology; Flow cytometry; Immunohistochemistry; Immunology; Cell biology; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002135612,0.0001768031,0.0002032807,0.00009045527,0.0005517026,0.0001148373,0.0001518541,0.00009129057,0.000009595191],"category_scores_gemma":[0.00004995753,0.0001793053,0.00004099791,0.00003579827,0.00008351027,0.00002249797,0.0002899034,0.00006768209,4.854608e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005661733,"about_ca_system_score_gemma":0.00002040685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006026603,"about_ca_topic_score_gemma":0.000005037364,"domain_scores_codex":[0.9989924,0.00002855484,0.0002743217,0.0003638716,0.0001389427,0.0002018578],"domain_scores_gemma":[0.9993699,0.000009774199,0.0002228005,0.0002143445,0.00008896168,0.00009421017],"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":[0.00002823579,0.00001982897,0.04029844,0.00002741537,0.00004059054,0.000004740607,0.0001056712,0.0001453199,0.9584215,0.0002505243,0.00003477969,0.0006229608],"study_design_scores_gemma":[0.000561688,0.0001746765,0.07267788,0.0001103632,0.00004165963,0.00003440065,0.00002988722,0.002795056,0.9226015,0.00006733725,0.0005777336,0.0003278535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933318,0.0008168347,0.005317376,0.000168508,0.000080226,0.0001278371,0.00001319568,0.00001010214,0.0001340741],"genre_scores_gemma":[0.9975621,0.0002347442,0.00101425,0.00007633096,0.0007383288,0.000008480589,0.000174491,0.00002276483,0.0001685175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03582003,"threshold_uncertainty_score":0.7311859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04343267700173029,"score_gpt":0.3220997138772582,"score_spread":0.2786670368755279,"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."}}