{"id":"W4415661375","doi":"10.3846/jbem.2025.24792","title":"Should we be wary of using artificial intelligence-based big data management in social research?","year":2025,"lang":"en","type":"article","venue":"Journal of Business Economics and Management","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Politechnika Bialostocka","keywords":"Transformative learning; Big data; Delphi method; Delphi; Intersection (aeronautics); Key (lock); Data integration","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":[],"category_scores_codex":[0.4741799,0.001390656,0.003389428,0.006613883,0.01238136,0.03748758,0.005987682,0.019112,0.003878584],"category_scores_gemma":[0.5627117,0.002127141,0.00228111,0.008254366,0.07094614,0.09657598,0.02046371,0.03539056,0.002089086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01441528,"about_ca_system_score_gemma":0.04939678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008201439,"about_ca_topic_score_gemma":0.009386376,"domain_scores_codex":[0.5370096,0.3925739,0.01290565,0.0126958,0.03933883,0.00547622],"domain_scores_gemma":[0.2977459,0.5512019,0.03509427,0.0495254,0.05101791,0.01541464],"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":[0.0004736067,0.0004416589,0.02246714,0.00736681,0.001129985,0.0008010156,0.1223184,0.001590422,0.001415678,0.447806,0.1132962,0.2808931],"study_design_scores_gemma":[0.0001617212,0.0002904322,0.005156264,0.01455639,0.0001826054,0.0007691575,0.07495872,0.002428959,0.001111383,0.6329009,0.2671307,0.0003527502],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003798598,0.009698239,0.01512522,0.964652,0.0033805,0.0001161134,0.00003579933,0.00005695089,0.003136604],"genre_scores_gemma":[0.2875004,0.03989599,0.1094334,0.5467579,0.01164074,0.002083913,0.0001167474,0.0003019332,0.002269054],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4741799,"threshold_uncertainty_score":0.6484298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7106347155584787,"score_gpt":0.511792484112291,"score_spread":0.1988422314461877,"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."}}