{"id":"W4410291923","doi":"10.1016/j.xinn.2025.100948","title":"Foundation models and intelligent decision-making: Progress, challenges, and perspectives","year":2025,"lang":"en","type":"review","venue":"The Innovation","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Youth Innovation Promotion Association; National Postdoctoral Program for Innovative Talents; Chongqing Basic Science and Advanced Technology Research Program; National Key Research and Development Program of China; Science and Technology Program of Hunan Province; Yunnan Key Research and Development Program; Centre Scientifique et Technique du Bâtiment; Ministry of Natural Resources of the People's Republic of China; Natural Science Foundation of Beijing Municipality; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Chinese Academy of Sciences; Peking Union Medical College Hospital; National Natural Science Foundation of China","keywords":"Foundation (evidence); Management science; Engineering ethics; Computer science; Data science; Engineering; History; Archaeology","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":[0.002868134,0.0008311868,0.001377349,0.002238203,0.0004611078,0.003342626,0.001556426,0.001993291,0.003400558],"category_scores_gemma":[0.005151362,0.0004041639,0.0005881403,0.003318021,0.002813641,0.004635162,0.001364402,0.003303192,0.001073802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002162579,"about_ca_system_score_gemma":0.004089021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003445084,"about_ca_topic_score_gemma":0.003550002,"domain_scores_codex":[0.9990984,0.0003899773,0.00006799957,0.0001140805,0.0002637306,0.0000658158],"domain_scores_gemma":[0.9957378,0.003371775,0.0001958407,0.0001151006,0.00046686,0.0001125651],"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":[0.00004391485,0.0000710204,0.0003843283,0.01127428,0.00009616248,0.0001318817,0.0004247675,0.002646844,0.0002062164,0.3369948,0.01458426,0.6331415],"study_design_scores_gemma":[0.0000145414,0.00007357694,0.0006635548,0.01217029,0.00007830955,0.0005404024,0.0005795468,0.001795491,0.0002648099,0.2104592,0.7733083,0.00005188706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002697903,0.9914373,0.001593331,0.002702137,0.0002055267,0.000005339245,0.00001112247,0.000007328306,0.003768187],"genre_scores_gemma":[0.006736114,0.9906175,0.001201767,0.0005868774,0.0003409489,0.00001383747,0.00002003178,0.000004720835,0.0004781834],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003445084,"threshold_uncertainty_score":0.01569068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1655861900012873,"score_gpt":0.3868059692876175,"score_spread":0.2212197792863302,"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."}}