{"id":"W2039552113","doi":"10.1038/nnano.2009.104","title":"Keeping track of dopants","year":2009,"lang":"en","type":"article","venue":"Nature Nanotechnology","topic":"Nanowire Synthesis and Applications","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanowire; Dopant; Doping; Track (disk drive); Nanotechnology; Materials science; Semiconductor; Laser; Optoelectronics; Process (computing); Engineering physics; Computer science; Physics; Optics","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":[0.0006641121,0.0007291361,0.0007934636,0.0007378922,0.0009600922,0.003175113,0.00161897,0.001548799,0.004070049],"category_scores_gemma":[0.002071162,0.0006056605,0.0003240488,0.000546841,0.0008899787,0.006342181,0.001633095,0.001993414,0.003336346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009975752,"about_ca_system_score_gemma":0.0009572744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007685313,"about_ca_topic_score_gemma":0.001307232,"domain_scores_codex":[0.999084,0.00006603717,0.00004558566,0.0002913747,0.0004208294,0.00009218081],"domain_scores_gemma":[0.9983925,0.000311736,0.0002184473,0.0005011832,0.0004640718,0.0001120813],"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":[0.0003653758,0.0001064539,0.001896002,0.0004873477,0.00007346636,0.0003096845,0.0002804263,0.002528801,0.7548652,0.0714178,0.01042128,0.1572482],"study_design_scores_gemma":[0.00001466062,0.0001002619,0.0003695103,0.00004547307,0.00007006474,0.0002852524,0.0001147596,0.01369758,0.878871,0.02200547,0.08437977,0.00004613356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4439297,0.03878775,0.3389375,0.01944142,0.008924062,0.0001693135,0.002987675,0.007925646,0.138897],"genre_scores_gemma":[0.8357338,0.009765258,0.0813263,0.002516451,0.0005359916,0.00009714847,0.0007972341,0.001892295,0.06733558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004070049,"threshold_uncertainty_score":0.01361567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003575868595713893,"score_gpt":0.2172648277625141,"score_spread":0.2136889591668002,"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."}}