{"id":"W7105114977","doi":"10.15139/s3/d1a219","title":"Data Management and Sharing Plan for: Reprogramming to PDAC Stroma by Targeting Coagulation in the Tumor Microenvironment","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":"","keywords":"Reprogramming; Stroma; Data sharing; Coagulation; Tumor microenvironment","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","scholarly_communication","open_science"],"consensus_categories":["metaepi_narrow","open_science"],"category_scores_codex":[0.006536632,0.001348492,0.001050272,0.0009254426,0.0008581417,0.00126734,0.00685537,0.0002647247,0.0002095629],"category_scores_gemma":[0.000655664,0.001351717,0.0001091777,0.0009391822,0.000246039,0.001162995,0.015576,0.0009652664,0.0006875839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009729294,"about_ca_system_score_gemma":0.000073486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008195364,"about_ca_topic_score_gemma":0.001243913,"domain_scores_codex":[0.9895999,0.0004283659,0.00198987,0.004964228,0.001288618,0.001729026],"domain_scores_gemma":[0.9878672,0.0004506944,0.001057676,0.01027078,0.00003657828,0.0003170592],"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":[0.0006221352,0.0005985477,0.001082635,0.001544621,0.0004152612,0.0002453749,0.0002964068,0.0002456546,0.0002992713,0.00007264261,0.9917218,0.002855636],"study_design_scores_gemma":[0.002649847,0.000190728,0.0005640183,0.001413928,0.001312819,0.00002061855,0.005688363,0.005051725,0.00002930736,0.00003529656,0.9819006,0.001142725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002438553,0.0003133341,0.001273068,0.0001228892,0.0003856994,0.008888898,0.9864874,0.00005452881,0.00003558438],"genre_scores_gemma":[0.0004335372,0.0003325489,0.02104157,0.0006245729,0.00019084,0.0005718798,0.9764973,0.0001229131,0.000184852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0197685,"threshold_uncertainty_score":0.9999266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346228922465012,"score_gpt":0.287858343794804,"score_spread":0.2532354515483027,"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."}}