{"id":"W2024886440","doi":"10.1103/physrevb.66.241405","title":"Probing correlated current and force effects of nanoparticle charge states by hybrid STM-AFM","year":2002,"lang":"en","type":"article","venue":"Physical review. B, Condensed matter","topic":"Force Microscopy Techniques and Applications","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cantilever; Quantum tunnelling; Scanning tunneling microscope; Atomic force microscopy; Materials science; Substrate (aquarium); Conductive atomic force microscopy; Coulomb; Condensed matter physics; Capacitance; Biasing; Nanotechnology; Nanoparticle; Voltage; Electron; Physics; Optoelectronics; Electrode; Quantum mechanics; 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":[0.0003385023,0.0002368991,0.0004036287,0.0004727749,0.0002043241,0.0004627213,0.0006134766,0.0005502788,0.001392344],"category_scores_gemma":[0.0008378656,0.0002806224,0.0001871084,0.0003203071,0.0003051772,0.0006031929,0.0006628582,0.0004111691,0.0002566308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790561,"about_ca_system_score_gemma":0.00009248205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004520859,"about_ca_topic_score_gemma":0.001349352,"domain_scores_codex":[0.9995593,0.00004271636,0.00002033852,0.00009296378,0.0002301883,0.0000543369],"domain_scores_gemma":[0.9994602,0.0002651599,0.0000608466,0.00008433322,0.00008826918,0.00004121742],"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":[0.0001052998,0.00005406691,0.001510809,0.00005942071,0.000034481,0.000109604,0.00004381049,0.000827016,0.9885106,0.0005846827,0.000129346,0.00803078],"study_design_scores_gemma":[0.00005453875,0.0004031775,0.02738698,0.00001421954,0.00005916434,0.001206668,0.0001081701,0.08342589,0.8842702,0.001406439,0.001593732,0.00007087321],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673504,0.0004405865,0.02988871,0.00004727815,0.00003678313,0.00003075451,0.0001482463,0.0003049285,0.001752224],"genre_scores_gemma":[0.9812142,0.0001026472,0.01787497,0.00004256186,0.00001469714,0.00003514712,0.00008812523,0.00001678858,0.0006108959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001392344,"threshold_uncertainty_score":0.004657805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006580767504404793,"score_gpt":0.2756887754400839,"score_spread":0.2691080079356791,"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."}}