{"id":"W2057649837","doi":"10.1016/j.ymeth.2013.08.020","title":"Characterization of PTPN2 and its use as a biomarker","year":2013,"lang":"en","type":"article","venue":"Methods","topic":"Protein Tyrosine Phosphatases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Computational biology; Gene isoform; Biomarker; Disease; Alternative splicing; Bioinformatics; Medicine; Genetics; Gene; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001687377,0.00006520436,0.00007893531,0.00002033107,0.00001643096,0.00001748569,0.00005437482,0.00006195256,0.00007133939],"category_scores_gemma":[0.0003810669,0.00005817355,0.0000204415,0.00004845474,0.000026991,0.000008842434,0.00007928752,0.00001887426,0.000006921901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001692458,"about_ca_system_score_gemma":0.0000128174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000455444,"about_ca_topic_score_gemma":5.313388e-7,"domain_scores_codex":[0.9995143,0.0001218617,0.0001035488,0.0001415265,0.00003692612,0.0000818463],"domain_scores_gemma":[0.9996665,0.00001634586,0.00005743168,0.0001507631,0.00007250741,0.000036479],"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":[0.00001350948,0.00001086116,0.0004328951,0.00001219656,0.00001318961,1.909537e-7,0.00000614822,4.935877e-8,0.9710142,0.0002650298,0.00009818231,0.02813352],"study_design_scores_gemma":[0.0001208396,0.00005938757,0.03585617,0.000005993067,0.000006606363,0.000004730387,0.00000163468,0.00008822113,0.9513338,0.00009592409,0.01236241,0.00006432866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827327,0.001364165,0.01548248,0.00008077204,0.00004672294,0.0001999837,0.00002155984,0.000005741233,0.00006590543],"genre_scores_gemma":[0.935759,0.0001904618,0.06306225,0.0002101279,0.00003308794,0.00004628886,0.000140627,0.00001418302,0.0005439846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04757977,"threshold_uncertainty_score":0.2372249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053518640080706,"score_gpt":0.3391788280793994,"score_spread":0.3086436416785924,"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."}}