{"id":"W2418806871","doi":"","title":"Nanolines on silicon surfaces","year":2008,"lang":"en","type":"article","venue":"QUT ePrints (Queensland University of Technology)","topic":"Graphene research and applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Queen's University","funders":"","keywords":"Silicon; Vicinal; Materials science; Fermi level; Range (aeronautics); Electron; Nanotechnology; Chemical physics; Condensed matter physics; Optoelectronics; Physics; Quantum mechanics","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":[0.00004420588,0.0001201752,0.0001088658,0.0001852392,0.0001787567,0.0002595923,0.0001335991,0.000189606,0.001685002],"category_scores_gemma":[0.0001061368,0.0001148026,0.00008565315,0.000152146,0.000212467,0.0002680774,0.0001331763,0.0001920817,0.0004640146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002016967,"about_ca_system_score_gemma":0.00008788131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003604287,"about_ca_topic_score_gemma":0.001080226,"domain_scores_codex":[0.9999464,0.000005724795,0.000002959577,0.000009571038,0.00002571522,0.000009591818],"domain_scores_gemma":[0.9999355,0.0000220046,0.0000162298,0.000007312059,0.00001453433,0.00000447048],"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":[0.00003374729,0.0000176235,0.0005104512,0.0003514038,0.000007298377,0.0001557347,0.0001119482,0.00170601,0.9813884,0.007312312,0.0005367227,0.007868388],"study_design_scores_gemma":[0.00002913891,0.0002636417,0.002784232,0.00005390005,0.00001346662,0.0003363745,0.0001530232,0.008830361,0.9579428,0.00269707,0.02688343,0.00001254567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622346,0.005025215,0.005730291,0.0002221012,0.00008124646,0.00002075456,0.0002197172,0.00009651992,0.02636963],"genre_scores_gemma":[0.9792022,0.004481677,0.008092915,0.00008267858,0.00003314871,0.00002482378,0.0003222327,0.00002911015,0.007731111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001685002,"threshold_uncertainty_score":0.005636871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173734226276741,"score_gpt":0.2256448296247359,"score_spread":0.2082714069970618,"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."}}