{"id":"W2996818948","doi":"10.1002/smll.201906540","title":"2D Antimony–Arsenic Alloys","year":2019,"lang":"en","type":"article","venue":"Small","topic":"2D Materials and Applications","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McGill University; Polytechnique Montréal","funders":"PRIMA Québec; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation","keywords":"Antimony; Arsenic; Raman spectroscopy; X-ray photoelectron spectroscopy; Materials science; Alloy; Arsenide; Graphene; Arsine; Heterojunction; Molecular beam epitaxy; Semiconductor; Epitaxy; Chemical engineering; Nanotechnology; Metallurgy; Chemistry; Gallium arsenide; Optoelectronics; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004895148,0.0002546617,0.0001752641,0.0002668847,0.0001964494,0.0003356522,0.0001954685,0.0002550156,0.001325418],"category_scores_gemma":[0.00008398267,0.0001876156,0.0001253985,0.0001570505,0.0001250075,0.0001365192,0.000259668,0.0001236446,0.0004405745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002362809,"about_ca_system_score_gemma":0.0001020024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006080333,"about_ca_topic_score_gemma":0.001473873,"domain_scores_codex":[0.9999247,0.000009084428,0.000004544543,0.00001333125,0.00003878857,0.000009621642],"domain_scores_gemma":[0.9999712,0.000004576313,0.000006173907,0.000005075284,0.000008604071,0.000004460589],"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":[0.00002953,0.000006995479,0.000266239,0.0000313771,0.000005527138,0.00004924692,0.000009247216,0.0003469234,0.9976172,0.0005485774,0.00009262781,0.0009966323],"study_design_scores_gemma":[0.00001089921,0.0001233277,0.001847717,0.000005018153,0.00000993581,0.0001578308,0.00003052476,0.006547663,0.9867809,0.0002862204,0.004194104,0.000005852727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899343,0.0006973055,0.002669941,0.00007582187,0.00005818756,0.000009730536,0.0001672577,0.0001070104,0.006280438],"genre_scores_gemma":[0.9936687,0.0002349752,0.002984688,0.00001697036,0.000008268509,0.000006494783,0.0001044321,0.000008616325,0.002966683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001325418,"threshold_uncertainty_score":0.00443399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706625599520753,"score_gpt":0.2342634858031839,"score_spread":0.2171972298079764,"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."}}