{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003409022,0.00008118073,0.0001475097,0.0001982905,0.0002549305,0.0009091031,0.0009378714,0.00003330981,0.00005910319],"category_scores_gemma":[0.0005055075,0.00006656756,0.00002014601,0.0003680294,0.00007885903,0.0007686959,0.0002553671,0.00007358131,0.00004018258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003932744,"about_ca_system_score_gemma":0.00002912076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001503639,"about_ca_topic_score_gemma":0.0002921878,"domain_scores_codex":[0.9983367,0.0001259722,0.0003753723,0.0005684122,0.00042008,0.0001734308],"domain_scores_gemma":[0.9979407,0.0005109159,0.0000932194,0.001377451,0.00002953539,0.00004823395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001783037,0.00002857268,0.0005560787,0.00003113076,0.00002726979,0.00001134685,0.001674736,0.00000103504,0.0005242283,0.09747564,0.09362404,0.8060281],"study_design_scores_gemma":[0.001078413,0.0002415821,0.003328263,0.0001348691,0.00008368007,0.000007589123,0.06882701,0.02892678,0.00008553575,0.4460867,0.4507675,0.0004320145],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01854545,0.0005303603,0.9270428,0.006674695,0.0008236249,0.0002875873,0.0000916581,0.0001006794,0.0459031],"genre_scores_gemma":[0.9923882,0.00000649732,0.002233819,0.0009931681,0.00004143611,0.000002792618,0.00002931578,0.000004987516,0.004299741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9738428,"threshold_uncertainty_score":0.8766502,"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."}}