{"id":"W3217270365","doi":"10.1002/smll.202104556","title":"2D Arsenene and Arsenic Materials: Fundamental Properties, Preparation, and Applications","year":2021,"lang":"en","type":"review","venue":"Small","topic":"2D Materials and Applications","field":"Materials Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Arsenic; Nanotechnology; Materials science; Exfoliation joint; Epitaxy; Graphene; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002991224,0.0003562541,0.0009886983,0.00005936028,0.0002514014,0.0005253823,0.000207764,0.0002005735,0.0003767283],"category_scores_gemma":[0.00001673168,0.000286234,0.00006748571,0.0001240265,0.0001692927,0.00009618259,0.0002975472,0.00007891233,0.0001870557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005133661,"about_ca_system_score_gemma":0.0002105258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004978041,"about_ca_topic_score_gemma":0.00003028753,"domain_scores_codex":[0.9981031,0.0001559937,0.0006305275,0.0007220046,0.0001198529,0.0002685334],"domain_scores_gemma":[0.9989494,0.00004422,0.0003095113,0.0005177623,0.00005960327,0.0001195054],"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":[0.00001993844,0.0003568709,0.000002277416,0.03024373,0.0001587615,0.0000116373,0.0003578592,8.740921e-7,0.436556,0.02036981,0.001475439,0.5104468],"study_design_scores_gemma":[0.00009031423,0.0000227806,0.000001545493,0.00146859,0.0002815769,0.00008501954,0.0000275068,5.016993e-7,0.008809559,0.0001417916,0.9887354,0.0003353748],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007607605,0.989655,0.0000950199,0.00003323288,0.000210764,0.001652025,0.0004363267,0.0001010311,0.0002089862],"genre_scores_gemma":[0.0006060542,0.9942025,0.00123548,0.00004077771,0.0004245536,0.0023892,0.000350089,0.00005522278,0.0006961218],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.98726,"threshold_uncertainty_score":0.999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07713368792864034,"score_gpt":0.3160703433202189,"score_spread":0.2389366553915785,"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."}}