{"id":"W2022900442","doi":"10.1063/1.2822417","title":"Influence of physisorbed water on the conductivity of hydrogen terminated silicon-on-insulator surfaces","year":2007,"lang":"en","type":"article","venue":"Applied Physics Letters","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Steacie Institute for Molecular Sciences","funders":"","keywords":"Conductivity; Hydrogen; Adsorption; Silicon; Materials science; Surface conductivity; Inert; Electrical resistivity and conductivity; Doping; Layer (electronics); Chemical engineering; Analytical Chemistry (journal); Chemistry; Nanotechnology; Optoelectronics; Organic chemistry; Physical chemistry","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":[0.0001367614,0.0004081756,0.0003287939,0.0001307535,0.0001832811,0.0004044049,0.0002442372,0.0003228607,0.001382674],"category_scores_gemma":[0.0005051069,0.0002632456,0.0002051391,0.0001324334,0.0003142048,0.0003616499,0.0002947123,0.0003654214,0.0002179447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229489,"about_ca_system_score_gemma":0.0001544611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006893868,"about_ca_topic_score_gemma":0.0009828816,"domain_scores_codex":[0.9998243,0.00002554683,0.0000119348,0.0000351279,0.00004886575,0.00005420988],"domain_scores_gemma":[0.9997428,0.0001312411,0.00003948721,0.00002353968,0.0000300861,0.00003295987],"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":[0.0001586571,0.00001674593,0.000190646,0.00006157488,0.00001360629,0.00007640955,0.00002951477,0.000208665,0.9982322,0.00003205736,0.00002144082,0.0009585938],"study_design_scores_gemma":[0.000008744735,0.0001291599,0.0007537477,0.000002980745,0.000006594505,0.00002055965,0.00002582675,0.0005967667,0.9982275,0.00001887111,0.0002045776,0.000004735311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983234,0.0003922959,0.0003673178,0.0000335612,0.00002271701,0.00001049905,0.00009326744,0.00002346735,0.0007334395],"genre_scores_gemma":[0.9984698,0.0003791352,0.0004283756,0.00002722078,0.00000862134,0.00001123645,0.0001058414,0.00002092756,0.0005489724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001382674,"threshold_uncertainty_score":0.004625499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008910201972891786,"score_gpt":0.2038247846376544,"score_spread":0.1949145826647626,"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."}}