{"id":"W6926559627","doi":"10.25345/c5cm04","title":"MassIVE MSV000084174 - Retention Time Prediction for Glycopeptides in Reversed Phase Chromatography for Glycoproteomic Applications","year":2019,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Reversed-phase chromatography; Retention time; Glycopeptide; Phase (matter); High-performance liquid chromatography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001775641,0.0003296139,0.0003797935,0.0001607051,0.0001257693,0.00003123522,0.0002865659,0.0004209937,0.00002454486],"category_scores_gemma":[0.00005026936,0.0003472849,0.0003103006,0.0001096196,0.00004962456,0.00000180589,0.00009775355,0.00010111,0.00003221675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003802684,"about_ca_system_score_gemma":0.00009268089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002411749,"about_ca_topic_score_gemma":0.00009395401,"domain_scores_codex":[0.998418,0.00003350419,0.0004185269,0.0007037377,0.00009753261,0.0003287011],"domain_scores_gemma":[0.9988598,0.00002677687,0.0002903012,0.0006362254,0.0001277425,0.00005916335],"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":[0.0003311762,0.0001282359,0.00003161755,0.0002498283,0.0001784055,3.508534e-7,0.000005699243,0.00002678479,0.1394819,0.00000391105,0.8591738,0.0003882693],"study_design_scores_gemma":[0.003044488,0.000949005,0.0001039358,0.00006570817,0.0001866517,0.000002870513,0.0000462161,0.00007781267,0.008264138,0.0001912271,0.9867017,0.0003662507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008949274,0.0009850264,0.001049414,0.00003282123,0.0003062752,0.004509714,0.9841215,0.000006467079,0.00003953627],"genre_scores_gemma":[0.00415079,0.00055832,0.001560411,0.00008974876,0.0006333842,0.003662813,0.9889764,0.00004674581,0.0003214505],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1312178,"threshold_uncertainty_score":0.9998979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449479757650818,"score_gpt":0.2679290523765552,"score_spread":0.2534342548000471,"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."}}