{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006744192,0.001994427,0.001362904,0.004439344,0.001303205,0.003443166,0.003666689,0.00333888,0.1491306],"category_scores_gemma":[0.04234764,0.001228266,0.001906068,0.00671719,0.0007817392,0.003053652,0.004439935,0.003049471,0.1179707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003000405,"about_ca_system_score_gemma":0.007145433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03624689,"about_ca_topic_score_gemma":0.05451489,"domain_scores_codex":[0.9963799,0.0007936218,0.0006574646,0.0006415246,0.000926759,0.0006008217],"domain_scores_gemma":[0.9804614,0.006217148,0.00144643,0.004670511,0.004720793,0.002483746],"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":[0.00005756377,0.00001353482,0.0006438438,0.0003172763,0.00001388759,0.00001115754,0.0000202628,0.0001520324,0.00005686254,0.0002996464,0.9964092,0.002004779],"study_design_scores_gemma":[0.000582361,0.00003959916,0.004971478,0.0007762062,0.00004423896,0.00005810755,0.0001726204,0.0009189993,0.0006517659,0.003049372,0.9886655,0.00006966107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001017135,0.00002145936,0.0001378081,0.0003475308,0.00006235213,0.00005256081,0.9976337,0.0007239605,0.0009189202],"genre_scores_gemma":[0.0005469787,0.00003891943,0.001131457,0.0002103168,0.00002047486,0.0003040525,0.9967091,0.0002203149,0.0008182667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1491306,"threshold_uncertainty_score":0.4988917,"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."}}