{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002222396,0.001549055,0.0009416173,0.001746409,0.0002965992,0.001211832,0.001750027,0.001074841,0.04836645],"category_scores_gemma":[0.004222007,0.000641303,0.0009832601,0.0009480466,0.000445029,0.001149942,0.002029538,0.001431733,0.014921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003664084,"about_ca_system_score_gemma":0.0007488546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007809805,"about_ca_topic_score_gemma":0.0008281585,"domain_scores_codex":[0.9991513,0.0001631422,0.00008778965,0.0001320065,0.0003827618,0.00008285672],"domain_scores_gemma":[0.9980407,0.001141118,0.00009538931,0.0002373152,0.0003539294,0.0001314605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003688533,0.000456115,0.004935214,0.002598512,0.000524892,0.002714521,0.000772153,0.008666478,0.1392518,0.01346659,0.5132293,0.3096959],"study_design_scores_gemma":[0.001452928,0.0004148788,0.01180235,0.0005653868,0.0001970852,0.003180357,0.000162669,0.3477065,0.1915716,0.01992037,0.4225309,0.0004950775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.006466562,0.0002248429,0.4833485,0.0003095612,0.000177875,0.0002876222,0.01111577,0.4943402,0.003729016],"genre_scores_gemma":[0.122571,0.0009626268,0.6970787,0.002029245,0.0002627287,0.003726001,0.03530651,0.1153436,0.0227196],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04836645,"threshold_uncertainty_score":0.1618019,"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."}}