{"id":"W4406235423","doi":"10.51594/gjabr.v3i1.66","title":"A collaborative model for data governance: enhancing integration across multi-line businesses","year":2025,"lang":"en","type":"article","venue":"Gulf Journal of Advance Business Research","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"TD Bank Group","funders":"Cisco Systems","keywords":"Corporate governance; Business; Line (geometry); Collaborative governance; Process management; Knowledge management; Computer science; Finance","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":[0.02114667,0.0008593398,0.0008179425,0.003847862,0.002663271,0.01053277,0.00370288,0.003503211,0.002634464],"category_scores_gemma":[0.022711,0.000634176,0.001824523,0.005469555,0.007157294,0.0156636,0.008858179,0.002897511,0.0009302492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006004654,"about_ca_system_score_gemma":0.01395507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004451244,"about_ca_topic_score_gemma":0.004474797,"domain_scores_codex":[0.9743764,0.01589698,0.001978558,0.002306054,0.004535477,0.0009064511],"domain_scores_gemma":[0.9848394,0.00654361,0.001974169,0.003003518,0.002567863,0.001071546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003363002,0.000124308,0.002573025,0.00344213,0.0001871908,0.0004351141,0.005420147,0.007467481,0.001568813,0.824366,0.01079697,0.1435851],"study_design_scores_gemma":[0.00008952252,0.0002174637,0.002951666,0.005612487,0.0002819685,0.0009517893,0.004965767,0.01452021,0.001988132,0.3641868,0.6041187,0.0001155539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02554769,0.0428628,0.7578549,0.03340108,0.001257967,0.001817169,0.0002840152,0.001019003,0.1359554],"genre_scores_gemma":[0.4311144,0.051006,0.4933065,0.006554141,0.0006547329,0.002334092,0.000911381,0.0002340306,0.01388466],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02114667,"threshold_uncertainty_score":0.1118356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.417733298033663,"score_gpt":0.5943428410539254,"score_spread":0.1766095430202624,"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."}}