{"id":"W2078303563","doi":"10.1088/0953-8984/27/12/125001","title":"Surface and near surface defects in<i>δ</i>-doped Si(1 1 1)","year":2015,"lang":"en","type":"article","venue":"Journal of Physics Condensed Matter","topic":"Surface and Thin Film Phenomena","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Akademie Věd České Republiky; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Scanning tunneling microscope; Dangling bond; Atomic orbital; Doping; Equilateral triangle; Surface (topology); Surface reconstruction; Condensed matter physics; Quantum tunnelling; Ab initio; Materials science; Molecular physics; Silicon; Crystallography; Microscopy; Chemistry; Nanotechnology; Physics; Geometry; Optoelectronics; Optics; Quantum mechanics","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":[0.00006917518,0.0000972049,0.0001062795,0.0002131107,0.0001353384,0.0002324454,0.0002220225,0.000241593,0.0006633388],"category_scores_gemma":[0.0001450174,0.0001071781,0.0000747833,0.0001433181,0.0002395263,0.0001611745,0.0001076443,0.0001793033,0.0000815341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003092463,"about_ca_system_score_gemma":0.00009689359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001426757,"about_ca_topic_score_gemma":0.001535216,"domain_scores_codex":[0.999962,0.000004982363,0.000002235807,0.000007787305,0.00001547127,0.000007443004],"domain_scores_gemma":[0.9999496,0.00001551527,0.00001497818,0.000003931887,0.000008102452,0.000007891078],"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":[0.0002378009,0.00005803703,0.006192683,0.00009012994,0.00002523762,0.000329664,0.0001279111,0.005537486,0.9820251,0.001756891,0.0001405533,0.003478466],"study_design_scores_gemma":[0.00006687437,0.0004704942,0.05652619,0.00002631059,0.00005418359,0.0009993293,0.0005401135,0.1299188,0.808614,0.001632264,0.001115249,0.00003617462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994487,0.00005088769,0.0001716821,0.00001145204,0.000001314213,0.000001234131,0.00001904469,0.000008149776,0.0002875411],"genre_scores_gemma":[0.9995571,0.00002466884,0.0002447445,0.000004651065,5.146063e-7,0.000001891682,0.0000304659,0.000003023949,0.0001329964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001426757,"threshold_uncertainty_score":0.002836883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188740193892165,"score_gpt":0.2491005715477456,"score_spread":0.227213169608824,"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."}}