{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000554885,0.00009024861,0.0001223183,0.00004162148,0.0002088216,0.0002441933,0.0007595115,0.00003341084,0.000001700506],"category_scores_gemma":[0.00003335717,0.0000509811,0.00002787264,0.0002227094,0.0001480526,0.0009281229,0.0003349649,0.00008295448,0.000005782754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001369485,"about_ca_system_score_gemma":0.0001985621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004848702,"about_ca_topic_score_gemma":0.0001395062,"domain_scores_codex":[0.999118,0.00003842763,0.0003278581,0.0002514319,0.0001365872,0.0001276927],"domain_scores_gemma":[0.9985166,0.0001178056,0.000157434,0.001092522,0.00008552882,0.00003012297],"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":[0.0000263549,0.0001106288,0.001216186,0.00005780973,0.0003491711,0.00007207745,0.004998797,0.00001868611,0.0002888692,0.1823792,0.05823973,0.7522425],"study_design_scores_gemma":[0.0009718948,0.0001502554,0.0231297,0.00009905715,0.00007035666,0.0004536714,0.0007467605,0.05896393,0.006384453,0.0505999,0.8579481,0.0004819764],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02014552,0.0008000254,0.879168,0.01229693,0.00122886,0.0006353991,0.0001051507,0.0001131723,0.08550699],"genre_scores_gemma":[0.9969772,0.00001702924,0.0009656093,0.0007687371,0.00002421197,0.00001672218,0.00004343045,0.000003144384,0.001183902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9768317,"threshold_uncertainty_score":0.2354761,"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."}}