{"id":"W4414313280","doi":"10.25300/misq/2025/18361","title":"Understanding and Improving Data Repurposing","year":2025,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Repurposing; Scope (computer science); Drug repositioning; Big data; Data modeling; Reuse; Frontier","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2571155,0.001442389,0.002390461,0.0141817,0.007086745,0.02819716,0.009238017,0.004439096,0.002724517],"category_scores_gemma":[0.4358423,0.001657929,0.003433733,0.01960413,0.02585943,0.05107942,0.02193514,0.01109285,0.001260127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008251192,"about_ca_system_score_gemma":0.02478014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008662946,"about_ca_topic_score_gemma":0.004949775,"domain_scores_codex":[0.7202905,0.1910674,0.02507207,0.01538026,0.0436266,0.004563114],"domain_scores_gemma":[0.424217,0.3471781,0.02344201,0.1405189,0.06005108,0.004592856],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001122558,0.0001616542,0.01388909,0.004111684,0.0002349101,0.00057242,0.06945206,0.005268655,0.002193757,0.394558,0.02834768,0.4810979],"study_design_scores_gemma":[0.00004793046,0.0001225157,0.004403546,0.004629839,0.0001215728,0.0008610386,0.03963935,0.01044378,0.004564226,0.6019699,0.3330054,0.0001908981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03394786,0.01689476,0.7518139,0.1692727,0.0009904716,0.001559744,0.0008462932,0.001527203,0.02314701],"genre_scores_gemma":[0.1932166,0.01229826,0.7779141,0.009420717,0.001016978,0.001249438,0.001629952,0.0008715717,0.002382282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7428845,"threshold_uncertainty_score":0.9161088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5739900091310471,"score_gpt":0.4558066986503441,"score_spread":0.1181833104807031,"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."}}