{"id":"W4405675501","doi":"10.1002/adma.202416375","title":"Two‐dimensional Nanosheets by Liquid Metal Exfoliation","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"2D Materials and Applications","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Science Fund for Distinguished Young Scholars; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Materials science; Exfoliation joint; Intercalation (chemistry); van der Waals force; Surface tension; Gallium; Graphene; Chemical engineering; Dispersion (optics); Phase (matter); Nanotechnology; Metal; Pulmonary surfactant; Birefringence; Molecule; Inorganic chemistry; Optics; Organic chemistry; Metallurgy","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005469699,0.0002390038,0.0003078054,0.00006199665,0.000164051,0.0003099593,0.0002218264,0.0000766976,0.004238573],"category_scores_gemma":[0.00005399093,0.0002045787,0.00005478377,0.0001430742,0.00007280322,0.0005835256,0.0001122824,0.00004410886,0.002582867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000784298,"about_ca_system_score_gemma":0.00007044554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005123468,"about_ca_topic_score_gemma":0.000002705867,"domain_scores_codex":[0.9981403,0.00008362881,0.000477614,0.0005543923,0.000364307,0.0003797562],"domain_scores_gemma":[0.9992954,0.0000773412,0.0001027035,0.0003326107,0.0000927168,0.00009922327],"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":[0.00006903947,0.00003614152,1.154136e-7,0.00005048674,0.000008558508,0.000006206625,0.0000331938,0.00008588502,0.983823,0.009976375,0.005652468,0.0002585125],"study_design_scores_gemma":[0.0002433319,0.00007720038,0.000006385754,0.00006037806,0.00002817484,0.00001677159,0.00000786169,0.00001148947,0.958714,0.002674102,0.03791569,0.0002446262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926515,0.000809684,0.0002627197,0.0004784865,0.003190215,0.0003637385,0.000770233,0.0005239021,0.0009495217],"genre_scores_gemma":[0.9942201,0.00004336076,0.003797623,0.0002603131,0.0003519072,0.0002779272,0.0002075057,0.00005284982,0.000788373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03226322,"threshold_uncertainty_score":0.9981937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009368616901267435,"score_gpt":0.2806963472852866,"score_spread":0.2713277303840192,"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."}}