{"id":"W2462475304","doi":"10.1039/c6cp03040h","title":"Does the Dirac cone of germanene exist on metal substrates?","year":2016,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Graphene research and applications","field":"Materials Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Germanene; Silicene; Metal; Dirac (video compression format); Cone (formal languages); Materials science; Condensed matter physics; Physics; Nanotechnology; Graphene; Quantum mechanics; 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":[],"consensus_categories":[],"category_scores_codex":[0.00008438701,0.000184012,0.0002521586,0.000003922089,0.00007492108,0.00002454271,0.0005294261,0.00004612256,0.0001206468],"category_scores_gemma":[0.00007275125,0.00007616767,0.0001736137,0.000164527,0.0007402361,0.00008745048,0.0001150547,0.0001520401,0.0001531088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002989467,"about_ca_system_score_gemma":0.00003722863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007606528,"about_ca_topic_score_gemma":1.013424e-7,"domain_scores_codex":[0.9986308,0.00002206007,0.0002003773,0.000355539,0.0004429027,0.0003482951],"domain_scores_gemma":[0.9986056,0.000450458,0.0001159214,0.0005751544,0.000103118,0.0001497099],"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":[0.00004448807,0.0004084427,0.000007769841,0.00003939659,0.00001405509,6.290127e-7,0.00002240506,0.000001580242,0.9914106,0.007022203,0.0002311606,0.0007972294],"study_design_scores_gemma":[0.0002353079,0.00001451111,0.00003805772,0.00002434063,0.00001684501,5.757062e-7,0.00001019423,0.00002140857,0.9378271,0.06148779,0.0001911123,0.0001327979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954949,0.000008686074,0.0001639699,0.0008276693,0.00001780783,0.0001086881,0.0001585924,0.00005092359,0.003168785],"genre_scores_gemma":[0.999064,0.000006262742,0.00004516136,0.00003381202,0.0005348885,0.00006760963,0.00001663599,0.00001715439,0.000214466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05446558,"threshold_uncertainty_score":0.3106028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01877736637388939,"score_gpt":0.2794091955450507,"score_spread":0.2606318291711613,"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."}}