{"id":"W2087593077","doi":"10.1063/1.1383068","title":"Reaction induced by a scanning tunneling microscope: Theory and application","year":2001,"lang":"en","type":"article","venue":"The Journal of Chemical Physics","topic":"Molecular Junctions and Nanostructures","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"","keywords":"Scanning tunneling microscope; Desorption; Silicon; Observable; Quantum tunnelling; Excited state; Yield (engineering); Microscope; Atomic physics; Transition state theory; Chemistry; Foley; Resonance (particle physics); Materials science; Analytical Chemistry (journal); Condensed matter physics; Physics; Nanotechnology; Reaction rate constant; Optics; Physical chemistry; Quantum mechanics; Adsorption; Optoelectronics; Thermodynamics; Kinetics","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":[0.0007803035,0.0006806199,0.001000484,0.0009573217,0.0006902108,0.001228823,0.001930327,0.002217576,0.002681621],"category_scores_gemma":[0.001522491,0.000427848,0.0009867821,0.0008572535,0.001754769,0.002093926,0.001002152,0.001277162,0.0008306412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107701,"about_ca_system_score_gemma":0.000720892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179573,"about_ca_topic_score_gemma":0.0005901339,"domain_scores_codex":[0.9996585,0.00008203335,0.0000160091,0.00004298427,0.0001651449,0.00003540351],"domain_scores_gemma":[0.9995744,0.0002235348,0.00004192583,0.00006053999,0.00007409689,0.00002554108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001004547,0.00003637031,0.0001425555,0.0002654862,0.00001846742,0.0002339626,0.00009389617,0.09145012,0.006523834,0.893341,0.0009583257,0.006925841],"study_design_scores_gemma":[0.000008415996,0.00003032485,0.00008031867,0.00004162179,0.000007029735,0.0001578731,0.00001860235,0.7773944,0.00093258,0.2181501,0.003156337,0.00002237589],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02240566,0.007554207,0.9414154,0.001013241,0.0004491532,0.0001356238,0.0001633431,0.0002860202,0.02657739],"genre_scores_gemma":[0.6567337,0.01766608,0.303811,0.001067527,0.0009039242,0.001115453,0.0002878527,0.0002477976,0.01816668],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002681621,"threshold_uncertainty_score":0.008970916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004845158804413399,"score_gpt":0.2152594395214862,"score_spread":0.2104142807170727,"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."}}