{"id":"W4410491654","doi":"10.2139/ssrn.5260351","title":"Toward Sustainable Data Governance in Refugee and Immigrant Serving Sector in Canada","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Refugee; Immigration; Corporate governance; Political science; Economic growth; Public administration; Business; Economics; Law; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01080919,0.0001504991,0.0002390387,0.001934613,0.01263444,0.01605236,0.00219596,0.001778772,0.004358368],"category_scores_gemma":[0.02403648,0.0003142917,0.0003187408,0.005070986,0.005466363,0.002981227,0.006821086,0.002950891,0.0003925551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09993672,"about_ca_system_score_gemma":0.3987671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.982588,"about_ca_topic_score_gemma":0.9916162,"domain_scores_codex":[0.9907218,0.001813128,0.0003347366,0.0005164627,0.002073084,0.004540869],"domain_scores_gemma":[0.9614053,0.004452321,0.00231762,0.001243954,0.01480794,0.01577291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002247194,0.0004381441,0.4503567,0.0003822096,0.00009579666,0.001809429,0.06617793,0.005788757,0.002601272,0.2276389,0.06982332,0.1746628],"study_design_scores_gemma":[0.00006213322,0.000131318,0.3027759,0.0009887257,0.00005562218,0.0002783626,0.374589,0.008969258,0.001432475,0.02312147,0.2874322,0.0001635341],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7747081,0.001803034,0.004825369,0.1536143,0.0001641055,0.0004759576,0.0009910102,0.0001404866,0.06327775],"genre_scores_gemma":[0.9758008,0.0007483246,0.003960219,0.003954053,0.00001667376,0.00005533469,0.0002731043,0.00003082434,0.01516076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09993672,"threshold_uncertainty_score":0.725095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04917905298851862,"score_gpt":0.3308357864920949,"score_spread":0.2816567335035763,"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."}}