{"id":"W4410050225","doi":"10.1016/j.mser.2025.101010","title":"A guided review of machine learning in the design and application for pore nanoarchitectonics of carbon materials","year":2025,"lang":"en","type":"review","venue":"Materials Science and Engineering R Reports","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Shandong Province; Shanxi Provincial Key Research and Development Project; National Natural Science Foundation of China","keywords":"Nanotechnology; Materials science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003790716,0.0002064474,0.00104822,0.0001195517,0.00005085089,0.00004105405,0.0002364663,0.0001171615,0.00001599358],"category_scores_gemma":[0.001364569,0.0001421379,0.00004902033,0.0003872683,0.00009838843,0.00002892463,0.00008943051,0.00008372848,4.574984e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002688209,"about_ca_system_score_gemma":0.0002118918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003432072,"about_ca_topic_score_gemma":2.184742e-7,"domain_scores_codex":[0.9981672,0.00003143804,0.001051016,0.0003603899,0.0002189825,0.0001709339],"domain_scores_gemma":[0.9984314,0.00030843,0.0006982817,0.0004560788,0.00007810164,0.00002767848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002444071,0.00002860509,0.000001561458,0.3659901,0.0000255779,0.000004432098,0.00006869183,0.00004016735,0.5313892,0.0004137475,0.00001486586,0.1020206],"study_design_scores_gemma":[0.0001384543,0.00003952588,0.000006966317,0.2559006,0.0009791224,0.0005878196,0.00002198718,0.000404898,0.5036356,0.0002627848,0.2373041,0.0007181915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002402053,0.9955908,0.0007453005,0.00003116078,0.00006609475,0.001067817,0.00003226508,0.00002102932,0.0000434778],"genre_scores_gemma":[0.004585844,0.9927832,0.001844739,0.00000780749,0.00002535897,0.0006702018,0.0000470499,0.00001844719,0.00001729225],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2372892,"threshold_uncertainty_score":0.5796213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02153693214961797,"score_gpt":0.2829261319326528,"score_spread":0.2613891997830348,"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."}}