{"id":"W4413623775","doi":"10.1038/s44320-025-00138-w","title":"When biomedical discovery faces data barriers: building a governance-empowered framework for resilient collaboration","year":2025,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Corporate governance; Data science; Computational biology; Computer science; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003089281,0.0001837595,0.0005622811,0.0001275957,0.0001312384,0.0001106137,0.0007434027,0.001007098,0.00002111131],"category_scores_gemma":[0.05276491,0.0001503748,0.00009037551,0.0004471958,0.000442048,0.00009851452,0.0005837966,0.000832503,0.000008448019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064163,"about_ca_system_score_gemma":0.001478809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001746425,"about_ca_topic_score_gemma":0.00005445864,"domain_scores_codex":[0.9970774,0.0003700891,0.0007143279,0.0008975939,0.0004876743,0.0004529047],"domain_scores_gemma":[0.9936495,0.003950607,0.0001922451,0.001580638,0.0004135792,0.0002134019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007895033,0.0001398247,0.004183181,0.001534486,0.0005266916,0.00006761609,0.0001656138,0.00001383391,0.09205651,0.8786905,0.02096928,0.0008629323],"study_design_scores_gemma":[0.00628335,0.002868539,0.0009313516,0.008194366,0.0004426484,0.00003480173,0.002406813,0.0119333,0.01764097,0.3185695,0.6298866,0.0008078031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07445427,0.009867855,0.8767266,0.03250714,0.002804188,0.002194528,0.000846779,0.00008128182,0.0005173416],"genre_scores_gemma":[0.9786552,0.0004132482,0.01695218,0.001287101,0.000288835,0.0002328597,0.0004795672,0.00002829369,0.001662674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.904201,"threshold_uncertainty_score":0.955214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475265381625786,"score_gpt":0.5295236763712989,"score_spread":0.3819971382087203,"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."}}