{"id":"W3202015992","doi":"10.1002/adfm.202106529","title":"Wet Chemistry Vitrification and Metal‐to‐Semiconductor Transition of 2D Gray Arsenene Nanoflakes","year":2021,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"2D Materials and Applications","field":"Materials Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; Natural Science Foundation of Jiangsu Province","keywords":"Materials science; Band gap; Nanomaterials; Photoluminescence; Semiconductor; Nanotechnology; Optoelectronics","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":[0.00005008064,0.0002028039,0.0001040077,0.0001193611,0.0001042425,0.0001970493,0.0001147044,0.0001965292,0.0006708881],"category_scores_gemma":[0.00009151398,0.0001397593,0.0001377238,0.00005866031,0.000170914,0.0002023784,0.0001666061,0.0002653487,0.0001023746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002130116,"about_ca_system_score_gemma":0.00008680207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003906947,"about_ca_topic_score_gemma":0.0009906943,"domain_scores_codex":[0.9999608,0.00000307498,0.000002486383,0.00000960642,0.00001284501,0.00001120263],"domain_scores_gemma":[0.9999598,0.000009740918,0.00001419124,0.000004302957,0.000006566077,0.000005338753],"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":[0.000006641388,0.00000263836,0.00002577416,0.00001309826,0.000001740513,0.00001362685,0.000009090063,0.00006045994,0.9994815,0.00008763109,0.000009937222,0.0002878617],"study_design_scores_gemma":[0.000001940507,0.00002961408,0.0002977555,0.000001319553,0.000001947444,0.00001622066,0.000006343083,0.0006521585,0.9985933,0.00001542489,0.000382005,0.000001960384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972298,0.0002433944,0.001502951,0.00002099729,0.00001391179,0.00000889188,0.00003665553,0.00004215615,0.000901373],"genre_scores_gemma":[0.9981256,0.0001159438,0.001046211,0.00001005148,0.000003013649,0.000007383529,0.00003213554,0.00001012179,0.0006495852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006708881,"threshold_uncertainty_score":0.002244294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01367361916485859,"score_gpt":0.2325178737433448,"score_spread":0.2188442545784862,"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."}}