{"id":"W4408380129","doi":"10.1002/mgr.32572","title":"The Transformative Power of Big Data, Automation and Generative AI","year":2025,"lang":"en","type":"article","venue":"˜The œmajor gifts report","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformative learning; Generative grammar; Automation; Power (physics); Big data; Computer science; Artificial intelligence; Data science; Engineering; Sociology; Data mining; Mechanical engineering; Pedagogy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006691799,0.0003631662,0.0003778228,0.002271493,0.001674853,0.009465023,0.0008847682,0.001071661,0.01129061],"category_scores_gemma":[0.01316565,0.0003711936,0.0004658767,0.00293343,0.01341405,0.01028152,0.005054379,0.003281064,0.001781436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003173659,"about_ca_system_score_gemma":0.003776195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005786486,"about_ca_topic_score_gemma":0.00702021,"domain_scores_codex":[0.9975205,0.001349314,0.00008545663,0.0002056373,0.0006817912,0.0001573153],"domain_scores_gemma":[0.9815765,0.01340115,0.0003738298,0.003118955,0.0009847148,0.0005448266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002739158,0.00001635038,0.0004849748,0.0001465657,0.00001839197,0.00006124908,0.001768494,0.001124707,0.0002290599,0.9103401,0.03378859,0.0519942],"study_design_scores_gemma":[0.000013483,0.000006947011,0.0003390592,0.0001607127,0.000007232889,0.00005756345,0.0009787652,0.002198376,0.0004516352,0.8327392,0.1630357,0.0000111383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0131364,0.01656292,0.1896944,0.1870358,0.001501425,0.0001008608,0.001510408,0.002119126,0.5883387],"genre_scores_gemma":[0.8119878,0.02329293,0.09384076,0.0115217,0.001589059,0.0003053289,0.001520951,0.001272824,0.05466874],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01129061,"threshold_uncertainty_score":0.03777087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778347955795089,"score_gpt":0.2709046335238789,"score_spread":0.2431211539659281,"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."}}