{"id":"W2077323214","doi":"10.1088/0957-4484/24/4/045701","title":"Unlocking doping and compositional profiles of nanowire ensembles using SIMS","year":2013,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Secondary ion mass spectrometry; Doping; Dopant; Nanowire; Planar; Substrate (aquarium); Heterojunction; Ion; Impurity; Optoelectronics; Analytical Chemistry (journal); Nanotechnology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002621919,0.00008495133,0.0001563449,0.000185637,0.00006590654,0.00001454498,0.00006278121,0.0001330972,0.00007038455],"category_scores_gemma":[0.000009558921,0.00008293247,0.00003425729,0.000169983,0.00006588232,0.0001044415,0.00003342016,0.0001158391,0.000009192291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002832478,"about_ca_system_score_gemma":0.000006485176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001086281,"about_ca_topic_score_gemma":0.00000894136,"domain_scores_codex":[0.9995312,0.000007547073,0.0001698672,0.000101162,0.00005617091,0.0001340686],"domain_scores_gemma":[0.9997588,0.00003538691,0.00003641448,0.0001016889,0.00005243549,0.00001529485],"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":[8.355346e-7,0.00000926333,0.0009886454,0.00004121076,0.00005155427,0.000001438291,0.00003919343,0.01131659,0.9788964,0.0009045932,0.00005242436,0.007697803],"study_design_scores_gemma":[0.0001576252,0.00002511069,0.0003704518,0.0001500007,0.00003163131,0.00005827065,0.0003040014,0.3077224,0.6892598,0.001078303,0.0006585187,0.0001839362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921226,0.0003935639,0.006858712,0.0002071311,0.00008540403,0.00006807865,0.000004027971,0.0001540995,0.0001064199],"genre_scores_gemma":[0.9939384,0.0000533891,0.005944009,0.00001127716,0.00001669849,0.000007409119,0.000003482153,0.00001209838,0.00001324994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2964058,"threshold_uncertainty_score":0.3381888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007493582802798799,"score_gpt":0.2099133597663701,"score_spread":0.2024197769635713,"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."}}