{"id":"W1506786547","doi":"10.1103/physrevlett.101.106801","title":"Nonlocal Conductance Modulation by Molecules: Scanning Tunneling Microscopy of Substituted Styrene Heterostructures on H-Terminated Si(100)","year":2008,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; Simon Fraser University; University of Alberta","funders":"","keywords":"Scanning tunneling microscope; Styrene; Heterojunction; Materials science; Molecule; Silicon; Chemical physics; Substrate (aquarium); Conductance; Dipole; Quantum tunnelling; Ab initio; Nanotechnology; Condensed matter physics; Optoelectronics; Chemistry; Physics; Polymer; Organic chemistry; Copolymer; Composite material","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":[0.00005814143,0.0001220819,0.0001057016,0.0001310293,0.0001619899,0.0002263573,0.0002948253,0.0002557139,0.001119043],"category_scores_gemma":[0.0001011413,0.0001130525,0.00008874348,0.0001272491,0.0002690748,0.0002163142,0.000123095,0.0002695449,0.0001206457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003100856,"about_ca_system_score_gemma":0.0001271351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141068,"about_ca_topic_score_gemma":0.001743731,"domain_scores_codex":[0.9999615,0.000003143223,0.000001677112,0.000008517627,0.00001540166,0.000009801823],"domain_scores_gemma":[0.9999379,0.00002291937,0.00001384885,0.000007832647,0.000009675166,0.000007826912],"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":[0.00003826888,0.00001410554,0.0003538785,0.00002628855,0.000005164422,0.00009690309,0.00005879241,0.0003039139,0.9978968,0.0004273787,0.00003028461,0.0007482198],"study_design_scores_gemma":[0.000022561,0.0001183031,0.0104481,0.00001149226,0.00001959061,0.0002038716,0.0001546571,0.01127222,0.9769244,0.0002283826,0.0005834938,0.00001295392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985989,0.00009683006,0.0005583455,0.00001601042,0.000003586037,0.00000259773,0.00004739186,0.00001792032,0.0006585605],"genre_scores_gemma":[0.9989038,0.0001053012,0.0006143423,0.000007295367,0.000001585775,0.000003058592,0.00003361695,0.000005037171,0.000326031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001141068,"threshold_uncertainty_score":0.003743589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100077781072183,"score_gpt":0.2532777140425867,"score_spread":0.2422769362318649,"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."}}