{"id":"W4313649860","doi":"10.1101/2023.01.04.522665","title":"CAT PETR: A Graphical User Interface for Differential Analysis of Phosphorylation and Expression Data","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinexus Bioinformatics Corporation (Canada); University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Visualization; Computer science; Graphical user interface; Data mining; Data visualization; User interface; Operating system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001928031,0.0002507675,0.0003563615,0.0001750814,0.00008155814,0.00004292983,0.0004231289,0.0003980546,0.000002053645],"category_scores_gemma":[0.0001241385,0.0002526795,0.0001293207,0.0002904983,0.0001101736,0.000005441589,0.001125874,0.000137802,4.847931e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001750131,"about_ca_system_score_gemma":0.00007194313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002172585,"about_ca_topic_score_gemma":0.00001133016,"domain_scores_codex":[0.9984068,0.00003468268,0.0003328683,0.000905608,0.0001255278,0.0001945505],"domain_scores_gemma":[0.9978193,0.00002921689,0.0002940124,0.001551357,0.0002231137,0.0000830166],"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":[0.00004874797,0.00005183216,0.001454154,0.00008372113,0.0003069364,3.675075e-7,0.000001588333,0.00005179477,0.9974509,0.0001033067,0.0004430799,0.000003609287],"study_design_scores_gemma":[0.0002056774,0.00005201712,0.02653553,0.00009836432,0.0006507959,4.139156e-9,0.000001833694,0.004705058,0.9642698,0.000007712151,0.003140872,0.0003324047],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7726624,0.0002230792,0.2249968,0.00007556948,0.0001186237,0.0004513577,0.001390275,0.00008155868,3.562183e-7],"genre_scores_gemma":[0.9682394,0.0005097344,0.03090067,0.00001636738,0.0001160289,0.0001015938,0.000051109,0.00005712505,0.000008001725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.195577,"threshold_uncertainty_score":0.9999925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537993188473717,"score_gpt":0.2887587467959357,"score_spread":0.2633788149111985,"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."}}