{"id":"W7119794681","doi":"10.15139/s3/chspch","title":"TRAINING 002: Data Management and Sharing Plan for: The role of tethered mucins and their glycosylation in mucostasis and infection in the CF lung","year":2025,"lang":"","type":"dataset","venue":"UNC Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"Cystic Fibrosis Foundation","keywords":"Glycosylation; Plan (archaeology); Data sharing; Data management; Mucin; Disease management","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":[0.005784828,0.0008102292,0.0008363292,0.001292234,0.0004965009,0.0005000576,0.001720283,0.0003508337,0.00004427044],"category_scores_gemma":[0.0006367094,0.0005854224,0.00005753598,0.001163089,0.0004047065,0.001403339,0.00395098,0.0009000006,0.000005922272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002328451,"about_ca_system_score_gemma":0.0001101996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006839893,"about_ca_topic_score_gemma":0.05648822,"domain_scores_codex":[0.9953772,0.0005498616,0.00114955,0.001788807,0.000458002,0.0006765657],"domain_scores_gemma":[0.9932458,0.002051247,0.0007674195,0.00379573,0.0000539338,0.00008589368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004364496,0.001250769,0.06142798,0.007356061,0.003402575,0.00007797036,0.03915485,0.0006385487,0.0002465056,0.002224404,0.209316,0.6705398],"study_design_scores_gemma":[0.005029426,0.0001394485,0.02376695,0.001956362,0.001334738,0.00003083854,0.02924921,0.121124,0.00001980457,0.0007115147,0.8159612,0.0006764751],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02786315,0.001837075,0.0002197525,0.00003752327,0.0001597155,0.004423141,0.9652444,0.00002239523,0.000192829],"genre_scores_gemma":[0.1124286,0.01117291,0.0003177217,0.00007437089,0.00007727585,0.000172931,0.8756862,0.00006085919,0.000009068944],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6698633,"threshold_uncertainty_score":0.9997736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05911796899474548,"score_gpt":0.2969881030990542,"score_spread":0.2378701341043087,"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."}}