{"id":"W4220939238","doi":"10.1088/1674-4926/43/3/030201","title":"2D arsenenes","year":2022,"lang":"en","type":"article","venue":"Journal of Semiconductors","topic":"Graphene research and applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; Shenzhen Fundamental Research Program; Fundamental Research Funds for the Central Universities; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province","keywords":"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004639501,0.0003334424,0.0002393087,0.0004035296,0.0006182819,0.001001852,0.0002458521,0.0004867203,0.01195453],"category_scores_gemma":[0.00009183035,0.0001738376,0.0001324847,0.0002389767,0.0002384155,0.0006129511,0.0005228893,0.0004374743,0.001712836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002579794,"about_ca_system_score_gemma":0.0001406603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002536713,"about_ca_topic_score_gemma":0.000763822,"domain_scores_codex":[0.9999352,0.00001025369,0.000002453789,0.00001345157,0.00002138406,0.00001734424],"domain_scores_gemma":[0.9999803,0.000003219959,0.000002221604,0.000005487459,0.000004491831,0.000004197676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002542079,0.0001019799,0.0006320825,0.0005420945,0.00005485475,0.0005032102,0.0002694017,0.002488266,0.3959689,0.5600105,0.01468184,0.0244926],"study_design_scores_gemma":[0.0001133314,0.0005472748,0.003960326,0.0002152651,0.00006986262,0.001888864,0.0007601811,0.02550858,0.4137228,0.1858997,0.3671521,0.0001616037],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.621206,0.005073573,0.006844682,0.002056826,0.001076269,0.00004191108,0.001099019,0.0004370052,0.3621646],"genre_scores_gemma":[0.9543036,0.001459023,0.002944705,0.0002745099,0.00007292835,0.00006097787,0.0005249397,0.00006346031,0.0402959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01195453,"threshold_uncertainty_score":0.03999192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0284077187863045,"score_gpt":0.2843984593415744,"score_spread":0.2559907405552699,"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."}}