{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004937798,0.001500803,0.0009083993,0.003028451,0.001271141,0.003202713,0.002607048,0.002023804,0.05278098],"category_scores_gemma":[0.01828041,0.0008619073,0.001408256,0.004633358,0.0006356709,0.002508723,0.002840818,0.002633436,0.04289297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003085601,"about_ca_system_score_gemma":0.006567155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04085503,"about_ca_topic_score_gemma":0.06068744,"domain_scores_codex":[0.9976337,0.0004570292,0.0004186837,0.0004753904,0.0006917134,0.0003233958],"domain_scores_gemma":[0.9912124,0.001890993,0.0006937925,0.003028577,0.002196289,0.0009778879],"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":[0.0001368192,0.00002839147,0.001463344,0.000375167,0.00002435664,0.00002216139,0.00004869166,0.0006188166,0.0002087344,0.001425737,0.9914429,0.004204942],"study_design_scores_gemma":[0.000387919,0.00004176312,0.005258339,0.0003671625,0.0000414587,0.00006854028,0.0002086139,0.00158987,0.00183617,0.004703233,0.9854321,0.00006480438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000279714,0.00002495564,0.0005385198,0.0003961797,0.00005488181,0.0001232953,0.9949896,0.001526116,0.002066779],"genre_scores_gemma":[0.001377549,0.00004606665,0.003433182,0.000161224,0.00001327844,0.0005000891,0.9931988,0.0002827212,0.0009870755],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05278098,"threshold_uncertainty_score":0.17657,"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."}}